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  • 1
    Online Resource
    Online Resource
    LLMs under the hood : building models for your unique use cases (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835883549 , 1835883540
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 2 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: This in-depth masterclass provides end-to-end coverage of developing enterprise-grade LLMs tailored to your unique use cases. Led by experts Maxime Labonne, Dennis Rothman, and Abi Aryan, this video delivers the advanced skills needed to architect performant LLMs that deliver real business impact. You'll learn how to make crucial architecture decisions, select optimal model types, configure hyperparameters, and curate quality training data. Discover professional techniques for pre-training, iterative fine-tuning, and rigorous model evaluation. The instructors reveal insider strategies to productionize your LLMs smoothly, monitor them proactively, and maintain optimal performance post-deployment. Following a structured curriculum spanning the complete LLM lifecycle, this masterclass empowers you with hands-on skills to build, refine, and deploy large language models with confidence. Turbocharge your generative AI initiatives and get the practical knowledge needed to create LLMs that solve complex challenges for your organization. What you will learn How to select the right LLM architecture for your use case Approaches for sourcing, cleaning, and labeling quality training data Pre-training methods and hyperparameter optimization Advanced fine-tuning techniques to boost performance Ways to thoroughly evaluate LLMs before deployment Best practices for monitoring, updating, and maintaining production LLMs Audience Data scientists, machine learning engineers, and AI developers seeking an in-depth understanding of large language model (LLM) development. This masterclass is designed for professionals aiming to build, optimize, and deploy enterprise-grade LLMs tailored to specific use cases, with a focus on practical skills and real business impact. About the Authors Maxime Labonne: Sr. Machine Learning Scientist, JPMorgan. Denis Rothman: Expert in AI Transformers including ChatGPT/GPT-4, Bestselling Author. Abi Aryan: ML Engineer and Author.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 8, 2024)
    URL: lizenzpflichtig
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  • 2
    Online Resource
    Online Resource
    Create your own ChatGPT clone using Python (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781836206071 , 1836206070
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: ChatGPT ; Python (Computer program language) ; Computer programming ; Artificial intelligence ; Python (Langage de programmation) ; Programmation (Informatique) ; Intelligence artificielle ; computer programming ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: "Unlock the world of conversational AI with ""Create Your Own ChatGPT Clone using Python,"" a comprehensive video course designed to teach you the intricacies of AI model interactions. Starting with a solid introduction and setup requirements, this course swiftly moves into hands-on exercises where you'll engage with the ChatGPT API using Python. You'll not only learn about API parameters and endpoints but also how to weave these components into a responsive Python FastAPI service. Transitioning from Python to front-end development, the course empowers you to create a React project, giving life to your ChatGPT clone with engaging styles and functionalities. The journey continues into the nuances of fine-tuning models, where you'll tailor ChatGPT solutions to fit specific needs, offering personalized experiences. The course culminates in strategic model selection, ensuring you're equipped to choose the most effective GPT model for your project's requirements, capped off with a cohesive summary tying all learned concepts together. What you will learn Navigate the setup for ChatGPT API interaction. Create a Python FastAPI for ChatGPT. Construct and style a ChatGPT clone in a React environment. Customize ChatGPT models through fine-tuning techniques. Select the optimal GPT model for specific project needs. Synthesize course knowledge in a comprehensive project. Audience Geared towards Python developers keen on building AI chatbots, and AI and NLP enthusiasts looking to delve into chatbot development, this course suits students and professionals eager for hands-on AI and Python experience. A foundational grasp of Python, React, and basic API interactions is assumed, catering to innovators who want to unlock the potential of conversational AI. About the Author Eduonix Learning Solutions: Eduonix Learning Solutions is at the forefront of technology training, boasting a vast global reach with over 1 million students across 200+ courses. With a rich history spanning over a decade, Eduonix's mission is to deliver industry-standard, high-quality training content created by a team of seasoned industry professionals. Their comprehensive curriculum covers a wide range of technologies, from Web and Mobility to Enterprise, Database, and Server Administration. Eduonix is dedicated to teaching technology in the context of real-world professional applications, ensuring that learners are equipped with the skills needed to excel in today's tech-driven landscape.".
    Note: Online resource; title from title details screen (O'Reilly, viewed April 22, 2024)
    URL: lizenzpflichtig
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  • 3
    Online Resource
    Online Resource
    Microsoft Power BI skills (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781836209591 , 1836209592
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 2 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.5/8
    Keywords: Microsoft Power BI (Computer file) ; Artificial intelligence ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Our video course is a comprehensive journey through the world of data visualization and analysis using Power BI. Hosted by Adam, this series is tailored for individuals aiming to leverage Power BI's robust capabilities to turn disparate data sources into coherent, visually immersive, and interactive insights. Beginning with an introduction to Power BI's ecosystem, Adam walks you through installing the software, understanding its interface, and the prerequisites needed to get started. The course progresses into more advanced topics such as connecting to data sources, refining data with queries, and creating interactive reports and dashboards. You'll learn not just the technical skills but also the thought processes behind effective data visualization and analysis strategies. Whether you're dealing with Excel spreadsheets or hybrid data warehouses, this course equips you with the knowledge to make data-driven decisions confidently. With a focus on real-world application, Adam ensures that by the end, you'll be proficient in using Power BI to its full potential, making you an invaluable asset to your organization. What you will learn Identify and connect to various data sources with Power BI Refine and transform data using Power BI desktop and service Create dynamic reports and dashboards Use DAX for basic measures Design mobile-responsive reports and dashboards Analyze data trends with Power BI's analysis features Audience This course is ideal for business and data analysts, BI professionals, and anyone interested in data visualization. A basic understanding of data principles is recommended but not required. About the Authors ACI Learning: ACI Learning trains leaders in Cybersecurity, Audit, and Information Technology. Whether starting an IT career, mastering a profession, or developing a team, they provide essential support at every step. Adam Gordon: Adam Gordon has 30+ years as an IT instructor in the private and public sectors. He holds more than 160 IT certifications. He has trained thousands of IT pros over the course of his career. He has over 160 professional and IT certifications.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 23, 2024)
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  • 4
    Online Resource
    Online Resource
    ChatGPT clone using React.js (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781836207856 , 1836207859
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 47 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.4/37
    Keywords: ChatGPT ; React (Electronic resource) ; Artificial intelligence ; Web applications Programming ; Intelligence artificielle ; Applications Web ; Programmation ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: This meticulously designed course not only introduces you to the foundational aspects of React.js but also dives deep into integrating ChatGPT API, crafting a cutting-edge, AI-driven chat interface. Beginning with an introduction to React components and props, you'll quickly move on to master state management, essential for responsive and interactive UIs. As the course unfolds, you'll learn how to construct a chat window component, handle user inputs, and engage with the ChatGPT API using Axios for real-time, intelligent conversations. The curriculum is carefully structured to ensure a progressive learning path, from setting up a MySQL environment, through managing and manipulating data, to advanced querying techniques including JOINS and indexes for optimization. Moreover, you'll explore advanced features such as error handling with boundary components and adding polish to your application through CSS styling and loading indicators. The course culminates in a practical deployment phase, where you'll take your local development project to a global audience using Vercel, equipping you with the knowledge to launch your applications into the production environment confidently. What you will learn Create and manage React components and props Utilize React state for dynamic content updates Integrate the ChatGPT API with Axios for AI interactions Implement localStorage() for persistent data storage Secure app configurations with environment variables Design user interfaces with CSS and add loading indicators Audience Ideal for web developers, software engineers, and UI/UX designers looking to enhance their skill set in building AI-driven applications. Prerequisites include basic knowledge of JavaScript, HTML, and CSS. About the Author Eduonix Learning Solutions: Eduonix Learning Solutions creates and distributes high quality technology training content. Our team of industry professionals have been training manpower for more than a decade. We aim to teach technology the way it is used in industry and professional world. We have professional team of trainers for technologies ranging from Mobility, Web to Enterprise and Database and Server Administration.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 22, 2024)
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  • 5
    Online Resource
    Online Resource
    Master ChatGPT and OpenAI APIs by building AI tools in Python (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835885628 , 1835885624
    Language: English
    Pages: 1 online resource (1 video file (11 hr., 11 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Python (Computer program language) ; Intelligence artificielle ; Python (Langage de programmation) ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Embark on a transformative learning experience with 'Master ChatGPT and OpenAI APIs By Building AI Tools in Python.' This immersive course takes you from the basics of ChatGPT and OpenAI's potent APIs through a journey of building dynamic AI-powered tools. Discover the magic behind ChatGPT's conversational prowess and dive deep into the neural networks and transformers that make it tick. You'll start by creating and managing your ChatGPT account, understanding the model's anatomy, and grasping the limitations and capabilities of AI language models. Transitioning from theory to hands-on practice, the course guides you through content creation, code generation, and the intricacies of prompt engineering. Moreover, you'll venture into the realms of generative AI with Midjourney, craft AI-driven applications, and harness the synergy of OpenAI and DALL-E for on-the-fly image generation. This course demystifies the AI concepts crucial in today's technology landscape, providing you with the skills to innovate and excel in the burgeoning field of AI. What you will learn Navigate the foundational elements of ChatGPT and OpenAI APIs Generate creative content and code with ChatGPT's language model Design and implement AI applications with user-friendly interfaces Master the art of prompt engineering for optimized AI interactions Build AI-powered tools and images using OpenAI and DALL-E Develop secure, intelligent applications with advanced Python techniques Audience This course welcomes everyone from entrepreneurs to artists and developers, aiming to learn about cutting-edge AI technologies and build AI-powered applications. Basic programming knowledge is preferred but not mandatory, making this course accessible to a wide range of learners. About the Author Paulo Dichone: Paulo Dichone, a seasoned software engineer and AWS Cloud Practitioner, is renowned for his expertise in Android, Flutter, and AWS, as well as being a best-selling instructor. Paulo has successfully imparted his knowledge to over 200,000 students across 175 countries, specializing in mobile app development for Android and iOS, web development, and AWS Cloud. His teaching philosophy centers on empowering students to excel as developers and AWS cloud practitioners, regardless of their prior experience. Beyond his professional pursuits, Paulo is devoted to his family, enjoys playing the guitar and mandolin, and loves to travel. He is committed to guiding students to achieve their highest potential in the tech industry.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 4, 2024)
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  • 6
    Online Resource
    Online Resource
    The complete LangChain & LLMs guide (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835885925 , 1835885926
    Language: English
    Pages: 1 online resource (1 video file (8 hr., 44 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.6
    Keywords: Artificial intelligence ; Computer programming ; Chatbots ; Application program interfaces (Computer software) ; Python (Computer program language) ; Intelligence artificielle ; Programmation (Informatique) ; Interfaces de programmation d'applications ; Python (Langage de programmation) ; artificial intelligence ; computer programming ; APIs (interfaces) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: This comprehensive masterclass takes you on a transformative journey into the realm of LangChain and Large Language Models, equipping you with the skills to build autonomous AI tools. Starting with the basics, you'll set up your development environment, including OpenAI API and Python, and progress to advanced topics like LangChain's architecture, prompt templates, and parsers. The course meticulously guides you through creating complex chains, memory models, and agents, culminating in the development of practical applications such as PDF extractors, newsletter generators, and multi-document chatbots. With hands-on tutorials, you'll learn to leverage LangChain for tasks ranging from document loading and splitting to embedding vector stores for semantic similarity searches. By the end, you'll have the knowledge to implement AI in creative and impactful ways, from image-to-text conversion to building interactive chatbots and more, all while navigating the ethical considerations of AI deployment. What you will learn Configure OpenAI API and Python for AI development Create and manipulate LangChain prompt templates and parsers Implement LangChain memory models and chains for complex AI applications Develop real-world applications, including newsletter generators and chatbots Work with LangChain embeddings and vector stores for semantic searches Navigate the ethical and copyright implications of AI-generated content Audience This course is designed for a broad audience interested in artificial intelligence, from data scientists enhancing projects with AI and LangChain, to product managers boosting user experience with AI features. AI enthusiasts, tech innovators, and programmers will deepen their understanding of LangChain, unlocking new opportunities in AI-driven development and pioneering next-gen solutions. While specific knowledge of Python is not necessary, familiarity with programming concepts is essential. About the Author Paulo Dichone: Paulo Dichone, a seasoned software engineer and AWS Cloud Practitioner, is renowned for his expertise in Android, Flutter, and AWS, as well as being a best-selling instructor. Paulo has successfully imparted his knowledge to over 200,000 students across 175 countries, specializing in mobile app development for Android and iOS, web development, and AWS Cloud. His teaching philosophy centers on empowering students to excel as developers and AWS cloud practitioners, regardless of their prior experience. Beyond his professional pursuits, Paulo is devoted to his family, enjoys playing the guitar and mandolin, and loves to travel. He is committed to guiding students to achieve their highest potential in the tech industry.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 4, 2024)
    URL: lizenzpflichtig
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  • 7
    Online Resource
    Online Resource
    Machine learning : modern computer vision & generative AI (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835883907 , 1835883907
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Artificial intelligence ; Apprentissage automatique ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: This is an innovative course tailored for those who aspire to master the dynamic fields of computer vision and generative artificial intelligence. This course offers a deep dive into the world of image recognition, object detection, and the magic of generative AI using tools like KerasCV, Python, TensorFlow, PyTorch, and JAX. This course guides you from the fundamentals of image classification to the intricacies of object detection, starting with the KerasCV library for deep learning. You'll learn to effectively use and fine-tune pre-trained models, create custom datasets for object detection, using tools like the LabelImg GUI program, and apply these skills to tackle real-world challenges. A key focus is the generative AI segment, particularly on Stable Diffusion, where you'll learn to generate detailed images from text, unlocking your creative potential in this advanced AI domain. This course offers a progressive learning path from basic concepts to advanced techniques, catering to both professional development and creative pursuits in AI. By the end, you'll have the confidence and tools needed for a variety of applications in the ever-evolving field of generative artificial intelligence. What you will learn Harness the power of the KerasCV library for efficient deep learning Master image classification techniques using pre-trained models Implement object detection in real-world scenarios Fine-tune models for tailored applications and datasets Create custom object detection datasets with LabelImg Understand the integration of TensorFlow, PyTorch, and JAX in computer vision Audience This course is ideal for individuals ranging from beginners to advanced learners who possess a fundamental understanding of machine learning and Python programming. It is especially beneficial for those keen on delving into the realm of computer vision using KerasCV. About the Author Lazy Programmer: The Lazy Programmer, a distinguished online educator, boasts dual master's degrees in computer engineering and statistics, with a decade-long specialization in machine learning, pattern recognition, and deep learning, where he authored pioneering courses. His professional journey includes enhancing online advertising and digital media, notably increasing click-through rates and revenue. As a versatile full-stack software engineer, he excels in Python, Ruby on Rails, C++, and more. His expansive knowledge covers areas like bioinformatics and algorithmic trading, showcasing his diverse skill set. Dedicated to simplifying complex topics, he stands as a pivotal figure in online education, adeptly navigating students through the nuances of data science and AI.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 30, 2024)
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  • 8
    Online Resource
    Online Resource
    Generative AI art generation : mastering all the AI tools (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835460320 , 1835460321
    Language: English
    Pages: 1 online resource (1 video file (17 hr., 56 min.)) , sound, color.
    Edition: [First edition].
    DDC: 776
    Keywords: Computer art ; Generative art ; Artificial intelligence ; Technology and the arts ; Art génératif ; Intelligence artificielle ; Technologie et arts ; generative art ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Welcome to an immersive journey into the cutting-edge landscape of AI-driven creativity. This course explores various AI platforms that redefine the boundaries of visual expression. You will kick off with DALL-E, a pioneering model known for its remarkable image-generation capabilities. Delve into the intricacies of prompt writing, understand how to articulate your creative vision effectively, and learn to guide AI models toward your desired outcomes. Next, you will navigate the expansive realm of AI platforms such as Images.ai, Lexica.art, Dreamstudio.ai, BlueWillow, and Midjourney. Each step unfolds new dimensions in image generation, from basic principles to advanced features. Unleash your creativity with Midjourney, AUTOMATIC 11, Dreamstudio, and more as you explore both its foundational basics and its advanced capabilities for intricate transformations, including text-to-image and image-to-image generation. The course goes beyond image generation, delving into the realm of basic AI photo editing tools that form the foundation of digital enhancement. Discover the magic of ClipDrop, experience the innovative Adobe Firefly, and explore the endless possibilities of RunwayML for creative experimentation. By the end, you will have valuable insights and hands-on experience to enhance your creative abilities. What you will learn Learn to generate captivating images using DALL-E's advanced capabilities Understand how to craft effective prompts for AI image generation Master the art of writing prompts that emphasize artistic expression, influencing AI models to create visually stunning outputs Gain an overview of Images.ai, understanding its features and capabilities Explore advanced settings in Images.ai, including model selection, prompt guidance, and more Learn the techniques of AI-driven image generation for portraits, logos, cartoons, and sci-fi artwork using Lexica.ai Audience This course is for beginner to advanced users interested in not just mastering one tool but all AI art generation tools to become a well-rounded AI artist. Whether you are just starting or looking to elevate your skills, this is the perfect place to start. About the Author HHN Automate Book Inc.: Henry Habib is a seasoned manager at a leading management consulting firm. He leverages his expertise to provide counsel on growth strategy, operation, and analytics to Fortune 500 companies. With a strong background in implementing data-driven solutions, Henry has a proven track record of making an impact in organizations of all sizes. He strongly advocates for no-code application development in business and deploys such solutions for his clients. These solutions are not only easier to understand but also quicker to implement. In addition to his consulting work, Henry is a dedicated professor who takes pleasure in guiding students toward success in various fields, ranging from case interviews to no-code application development and automation. His courses are designed to be engaging and informative, and he is always available to assist students in mastering challenging concepts.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 3, 2023)
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  • 9
    Online Resource
    Online Resource
    LangChain masterclass : build 15 OpenAI and LLAMA 2 LLM apps using Python (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835464427 , 1835464424
    Language: English
    Pages: 1 online resource (1 video file (10 hr., 2 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.6
    Keywords: Artificial intelligence ; Computer programming ; Chatbots ; Application program interfaces (Computer software) ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Unlock the boundless possibilities of AI and language-based applications with our LangChain Masterclass. In this comprehensive course, you will embark on a transformative journey through the realms of LangChain, Pinecone, OpenAI, and LLAMA 2 LLM, guided by experts in the field. In this course, you will embark on a journey through a diverse range of projects designed to deepen your understanding and application of cutting-edge technologies. These hands-on endeavors encompass a broad spectrum of applications, from creating dynamic question-answering applications powered by LangChain, OpenAI, and Hugging Face Spaces, to developing engaging conversational bots that enhance user interactions. You will even venture into the realm of educational AI, crafting customized experiences for children. As you progress, you will build captivating marketing campaigns, explore the world of summarization-enriched chatbots, and streamline tasks such as multiple-choice quiz creation and CSV data analysis. Plus, you will discover how to optimize HR processes, simplify email customization, and extract vital invoice details. With projects spanning from text-to-SQL query assistance to customer care call summaries, this course equips you with a comprehensive toolkit for advancing your skills and revolutionizing various domains of AI and software development. By the end of this course, you will not only have a strong grasp of LangChain's capabilities but also a robust portfolio of AI applications that showcases your expertise. What You Will Leanr Build AI-powered chatbots and applications with LangChain Create dynamic question-answering systems and conversational bots Implement automated marketing and customer support tools Learn to streamline data analysis and CSV processing Explore HR resume screening and email customization Master invoice data extraction and SQL query tools Audience This course is designed for individuals eager to explore the dynamic world of AI-powered language applications. If you are passionate about harnessing the potential of LangChain, Pinecone, OpenAI, and LLAMA 2 LLM, this course is your gateway to expertise. Prerequisites are minimal, requiring only a basic understanding of programming and coding. A curious mind and enthusiasm for AI are your most valuable assets. About The Author Sharath Raju: Sharath Raju is a senior software engineer specialized in AI and robotics. It has been over eight years since he worked in software development, robotic process automation (RPA), and AI app implementation. He has implemented over 80 RPA processes using UiPath and Microsoft Power Automate and has also built several AI-powered apps using different technologies. It is so true that someone learns more efficiently by practicing the skill than just reading something. Having a passion to share his knowledge in these technologies, he has created several step-by-step and easy-to-digest courses. His goal is to help you get ready for the future by learning new technologies and to prepare you to become more productive by getting familiar with the relevant and useful resources. He is still learning and exploring his field of work, and therefore, he welcomes any valuable feedback.
    Note: "Updated in September 2023.". - Online resource; title from title details screen (O'Reilly, viewed October 11, 2023)
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  • 10
    Online Resource
    Online Resource
    The complete OpenAI JS APIs course : build 15 projects (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835466728 , 1835466729
    Language: English
    Pages: 1 online resource (1 video file (14 hr., 18 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Natural language processing (Computer science) ; Intelligence artificielle ; Traitement automatique des langues naturelles ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Embark on a transformative learning experience that will equip you with the knowledge and skills to create a groundbreaking AI-powered project. You will be introduced to the Text Completion App, providing a foundational understanding of language processing. Moving forward, we will delve into the versatility of ChatGPT, exploring its applications in various domains. Furthermore, we dissect OpenAI API Parameters and Streams applications. Continuing our exploration, we navigate through the art of prompt engineering and witness its practical implementation in the creation of a PDF Book Summarizer App. Next, we bring language processing to life with the Chatbot App, offering the unique opportunity to interact with virtual personalities such as Einstein and Bill Gates. Diving further, we receive personalized book recommendations with the Book Recommendations App, showcasing the AI's ability to understand individual preferences. Transitioning into the creative fusion of text and image, we introduce the Text to Image App using DALL-E. Subsequently, we venture into image editing, variations, and transformative applications with the Image Editing, Variations, and Audio to Text Apps using Whisper. By the end of the course, you will gain practical experience in developing diverse AI-powered applications. What you will learn Master text fundamentals, including compression, segmentation, and information extraction Learn keyword extraction and question answering techniques for effective information retrieval Explore sentiment analysis, emotion detection, and tone analysis for understanding textual nuances Explore image creation, display, and saving functionalities Generate diverse image variations for creative applications Explore speech-related tasks, including transcription and translation Audience This course is aimed at developers, both beginners and experienced coders, who are eager to harness the power of AI in their projects. Whether you are a tech enthusiast staying at the forefront of advancements or a student/educator recognizing AI's transformative potential, this course empowers you to integrate OpenAI's JS APIs seamlessly. Entrepreneurs with a vision for AI-driven products or services will discover how to turn ideas into reality, disrupting industries and driving business forward in the AI era. About the Author Development Island (UK): Issam Baou is the founder and director of Development Island based in Bedford, United Kingdom, and is specialized in providing the best technology courses on the Internet. He has two master's degrees in engineering and management from Cranfield University (UK) and Ecole Centrale, Paris. He has worked for many world-class companies in the past, including Amadeus, Ford, and Airbus, in different roles including web development, consulting, simulation, and teaching. He has a solid and successful track record of teaching mathematics and web development.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 3, 2023)
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  • 11
    Online Resource
    Online Resource
    Deep learning : Convolutional neural networks with TensorFlow (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781801076272 , 1801076278
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 41 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: TensorFlow ; Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: TensorFlow is the world's most popular library for deep learning, and it is built by Google. It is the library of choice for many companies doing AI (Artificial Intelligence) and machine learning. So, if you want to do deep learning, you must know TensorFlow. In this course, you will learn how to use TensorFlow 2 to build convolutional neural networks (CNN). We will first start by having an in-depth look at what convolution is, why it is useful, and how to integrate it into a neural network. Then you will learn how to apply CNNs to several practical image recognition datasets, from small and relatively simple to large and complex. Next, you will learn how to perform text preprocessing and text classification with CNNs In the last section, you will learn about techniques that help improve performance, such as batch normalization, data augmentation, and transfer learning for Computer Vision. By the end of this course, we will have understood how to build convolutional neural networks in deep learning with TensorFlow. What you Will Learn Understand the concept of convolution Integrate convolution into neural networks Apply CNNs to several image recognition datasets, both small and large Learn best practices for designing CNN architectures Learn about batch normalization and data augmentation Learn how to preform text preprocessing Audience This course is designed for anyone interested in deep learning and machine learning or for anyone who wants to implement convolutional neural networks in TensorFlow 2. One must have decent Python programming skills, should know how to build a feedforward ANN (Artificial Neural Network) in TensorFlow 2, and must have experience with data science libraries such as NumPy and Matplotlib. About The Author Lazy Programmer: The Lazy Programmer is an AI and machine learning engineer with a focus on deep learning, who also has experience in data science, big data engineering, and full-stack software engineering. With a background in computer engineering and specialization in machine learning, he holds two master's degrees in computer engineering and statistics with applications to financial engineering. His expertise in online advertising and digital media includes work as both a data scientist and big data engineer. He has created deep learning models for prediction and has experience in recommendation systems using reinforcement learning and collaborative filtering. He is a skilled instructor who has taught at universities including Columbia, NYU, Hunter College, and The New School. He has web programming expertise, with experience in technologies such as Python, Ruby/Rails, PHP, and Angular, and has provided his services to multiple businesses.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 20, 2023)
    URL: lizenzpflichtig
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  • 12
    Online Resource
    Online Resource
    Chatbots for beginners : a complete guide to build chatbots (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781837637621 , 1837637628
    Language: English
    Pages: 1 online resource (1 video file (7 hr., 59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.33
    Keywords: Human-computer interaction ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Chatbots are computer programs that converse with users, understand their intent, and reply based on preset rules and data. Chatbots are used in dialog systems for various purposes, including customer service, request routing, or information gathering in e-commerce, education, entertainment, finance, health, and more. The course begins with an in-depth introduction to chatbot basics with ML, DL, and AWS. We will understand chatbots, their needs and types, rule-based/self-learning chatbots and their working mechanisms, and explore ML-based chatbot concepts. We will explore Natural Language Toolkit (NLTK) and install packages to create a corpus with Python. We will train and test the chatbot. We will then advance to DL-based chatbots and compare conventional with DL-based chatbots. You will learn about tokenization, encoder-decoder, and implementing RNN-based models. Finally, we will explore AWS for chatbot training with DL. We will examine the features of AWS and build a hotel booking chatbot with Amazon Lex. We will connect AWS Lambda to Amazon Lex and integrate the chatbot with Twilio. We will use AWS SDK and create response cards with chatbots. Upon completion, we will independently be able to build chatbots using ML, DL, and AWS Lex on Python, with a thorough understanding of the creation and functioning of these chatbots. What You Will Learn Learn the basic machine learning architecture for the chatbots Gain hands-on practice in text generation with Python for chatbots Learn about testing and training chatbots with machine learning Learn hands-on web-based development of the AWS chatbot Implement settings of a decoder-encoder model with Python Understand the impact/overview tokenization in chatbot development Audience This course is designed for individuals looking to advance their skills in applied machine learning and DL, understand relationships of data analysis with ML and DL, learn AWS and apply AWS Lex and Lambda for chatbots, build customized chatbots for their applications, implement DL algorithms for chatbots and rule-based self-learning chatbots. This course can benefit ML/DL practitioners, research scholars, and data scientists researching chatbots. No prior knowledge of chatbots, ML, DL, Amazon Lex, data analysis, or mathematics is required. Prior basic- to intermediate-level Python knowledge is required. About The Author AI Sciences: AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences. Their courses have successfully helped more than 100,000 students master AI and data science.
    Note: "Published in February 2023.". - Online resource; title from title details screen (O'Reilly, viewed March 20, 2023)
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  • 13
    Online Resource
    Online Resource
    Advanced chatbots with deep learning and Python (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781837632534 , 1837632537
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.33
    Keywords: Human-computer interaction ; Machine learning ; Python (Computer program language) ; Artificial intelligence
    Abstract: AI-powered chatbots are also capable of automating various tasks, including sales and marketing, customer service, and administrative and operational tasks. In this course about developing advanced chatbots with deep learning, we will understand their applications and build from scratch using deep learning with Python The course begins with a brief overview and the fundamentals of deep learning for chatbots. We will understand and compare conventional chatbots with deep learning-based chatbots. Then, we will explore self-learning chatbots, including generative chatbots and retrieval chatbots. You will learn more about deep learning-empowered chatbot features and compare and distinguish the abilities of conventional chatbots and self-learning chatbots in real action. We will focus on chatbot development with deep learning, tokenization, setting up an Encoder-Decoder, implementing RNN-based model development, and finally, training, testing, and validating the chatbot we developed. Upon completing this course successfully, you will relate concepts and understand theories of chatbots in various domains, understand and implement deep learning models for building real-world chatbots, and evaluate deep learning-based chatbot models. What You Will Learn Relate the concepts and theories for chatbots in various domains Compare conventional chatbots with deep learning-based chatbots Understand deep learning algorithms for chatbots Implement deep learning models for building real-world chatbots Learn about tokenization and setting up an encoder-decoder Implement recurrent neural network-based model development Audience This course is designed for individuals looking to advance their skills in applied deep learning, acquire knowledge regarding the relationships of data analysis with deep learning, wish to build customized chatbots for their applications, learn to implement deep learning algorithms for chatbots, and are passionate about rule-based and self-learning chatbots. Deep learning practitioners/scholars working on chatbot concepts would benefit from this course. No prior knowledge of chatbots, deep learning, data analysis, or mathematics is needed. Basic to intermediate Python knowledge is required. About The Author AI Sciences: AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences. Their courses have successfully helped more than 100,000 students master AI and data science.
    Note: "Published in February 2023."
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  • 14
    Online Resource
    Online Resource
    Deep learning : Recurrent neural networks with TensorFlow (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781803242828 , 1803242825
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 7 min.)) , sound, color.
    DDC: 006.3/1
    Keywords: TensorFlow ; Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Recurrent Neural Networks are a type of deep learning architecture designed to process sequential data, such as time series, text, speech, and video. RNNs have a memory mechanism, which allows them to preserve information from past inputs and use it to inform their predictions. TensorFlow 2 is a popular open-source software library for machine learning and deep learning. It provides a high-level API for building and training machine learning models, including RNNs. In this compact course, you will learn how to use TensorFlow 2 to build RNNs. We will study the Simple RNN (Elman unit), the GRU, and the LSTM, followed by investigating the capabilities of the different RNN units in terms of their ability to detect nonlinear relationships and long-term dependencies. We will apply RNNs to both time series forecasting and NLP. Next, we will apply LSTMs to stock "price" predictions, but in a different way compared to most other resources. It will mostly be an investigation about what not to do and how not to make the same mistakes that most blogs and courses make when predicting stocks. By the end of this course, you will be able to build your own build RNNs with TensorFlow 2. What You Will Learn Learn about simple RNNs (Elman unit) Covers GRU (gated recurrent unit) Learn how to use LSTM (long short-term memory unit) Learn how to preform time series forecasting Learn how to predict stock price and stock return with LSTM Learn how to apply RNNs to NLP Audience This course is designed for anyone interested in deep learning and machine learning or for anyone who wants to implement recurrent neural networks in TensorFlow 2. One must have decent Python programming skills, should know how to build a feedforward ANN in TensorFlow 2, and must have experience with data science libraries such as NumPy and Matplotlib. About The Author Lazy Programmer: The Lazy Programmer is an AI and machine learning engineer with a focus on deep learning, who also has experience in data science, big data engineering, and full-stack software engineering. With a background in computer engineering and specialization in machine learning, he holds two master's degrees in computer engineering and statistics with applications to financial engineering. His expertise in online advertising and digital media includes work as both a data scientist and big data engineer. He has created deep learning models for prediction and has experience in recommendation systems using reinforcement learning and collaborative filtering. He is a skilled instructor who has taught at universities including Columbia, NYU, Hunter College, and The New School. He has web programming expertise, with experience in technologies such as Python, Ruby/Rails, PHP, and Angular, and has provided his services to multiple businesses.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 20, 2023)
    URL: lizenzpflichtig
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  • 15
    Online Resource
    Online Resource
    Basics of chatbots with machine learning & Python (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781837635092 , 1837635099
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.33
    Keywords: Human-computer interaction ; Machine learning ; Python (Computer program language) ; Artificial intelligence ; Artificial intelligence ; Human-computer interaction ; Machine learning ; Python (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Chatbots are software applications used for online chat conversations through text or text-to-speech instead of providing direct contact with a live human agent. Chatbots are used in dialog systems for various purposes, including customer service, request routing, or information gathering. This course begins with a brief overview of chatbots, their need, and the types of chatbots. We will explore rule-based versus self-learning chatbots. We will understand the working mechanism of chatbots. We will explore machine learning-based chatbots and understand the ML-based architecture of chatbots. You will learn about the purpose of ML-based chatbots and their impact. We will get an overview of the Natural Language Toolkit (NLTK). You will learn to install packages and create a corpus with Python. We will delve into text preprocessing and helper function deployment, generate responses, and implement term-frequency times inverse document-frequency. We will train and test rule-based chatbots and finally work on a project developing an artificial intelligence question-answer chatbot using NLTK. Upon course completion, you will be able to relate the concepts and theories for chatbots in various domains, understand and implement machine learning models for building real-time chatbots, and evaluate machine learning models in chatbots. What You Will Learn Learn about chatbot types, rule-based and self-learning chatbots Learn text preprocessing and develop helper functions with Python Explore the impact and overview of the Natural Language Toolkit Gain hands-on practice, generate text in Python to develop chatbots Explore testing and training of chatbot with machine learning Implement term-frequency times inverse document-frequency hands-on Audience This course delivers content to people wishing to advance their skills in applied machine learning, master data analysis with machine learning, build customized chatbots for their applications, and implement machine learning algorithms for chatbots. This course is for you if you are passionate about rule-based and conversational chatbots. Machine learning practitioners, research scholars, and data scientists can benefit from the course. No prior knowledge of chatbots, or machine learning, is needed. You will need to know basic to intermediate Python coding, which is not taught separately in the course. About The Author AI Sciences: AI Sciences is a group of experts, PhDs, and practitioners of AI, ML, computer science, and statistics. Some of the experts work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. They have produced a series of courses mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, their objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory. Today, they also publish more complete courses for a wider audience. Their courses have had phenomenal success and have helped more than 100,000 students master AI and data science.
    Note: "Published in February 2023.". - Online resource; title from title details screen (O'Reilly, viewed March 21, 2023)
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  • 16
    Online Resource
    Online Resource
    Build a DALL-E image generator using React, JavaScript, and OpenAI (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781805124269 , 1805124269
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 40 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Application software Development ; Natural language generation (Computer science) Computer programs ; JavaScript (Computer program language) ; User interfaces (Computer systems) ; Artificial intelligence ; Computer graphics ; Instructional films ; Nonfiction films ; Internet videos
    Note: "Published in April 2023.". - Online resource; title from title details screen (O'Reilly, viewed May 11, 2023)
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  • 17
    Online Resource
    Online Resource
    Generative AI art for beginners (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835084304 , 1835084303
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 10 min.)) , sound, color.
    Edition: [First edition].
    DDC: 776
    Keywords: ChatGPT ; Computer art ; Generative art ; Artificial intelligence ; Technology and the arts ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Generative AI has revolutionized the art world by providing an entirely new way to create unique and stunning visuals. In today's age of technology, it's essential to keep up with the latest tools and techniques, and this is where this comprehensive course on AI-generated art comes in. In this course, you will learn how to create stunning visuals using the latest AI art software, including DALL-E, Midjourney, and other tools. You will begin by learning the basics of generative AI and its applications in art. From there, you will explore various AI art software and learn how to use them to create beautiful pieces of art. The course will cover everything from generating simple images to creating complex visuals and textures. You will learn how to tweak parameters, adjust styles, and create custom datasets to get the exact output you want. Additionally, you will explore the different types of generative art, including style transfer, GANs, and neural style transfer. By the end of this course, you will be well-versed in generative AI and its applications in art. You will have a solid understanding of how to use various AI art software, including DALL-E, Midjourney, and others, to create stunning visuals. What You Will Learn Understand the theory behind AI and GPT-3 Learn how to construct effective text prompts for AI art Learn different framing techniques for AI-generated art Explore different AI art software and their unique features Implement image URLs for visual inspiration in Midjourney Learn how to perform image masking with DALL-E 2 Audience This course is ideal for anyone who is interested in exploring the potential of generative AI art. Whether you are an artist, graphic designer, photographer, or simply a creative person, this course will equip you with the skills and knowledge to produce stunning and unique AI-generated artwork. No prior experience in programming or AI is required as this course is designed for beginners. About The Author Oliver Theobald: Oliver Theobald is an accomplished technical writer and the best-selling author of "Machine Learning for Absolute Beginners". With expertise in AI, fintech, and cloud computing, he has worked in various technical roles across the globe. Oliver currently splits his time between China and Japan, where he continues to expand his knowledge and passion for emerging technologies. As an instructor, Oliver brings a unique approach to teaching complex topics. He believes in cutting through the jargon and presenting information in a clear, concise, and engaging manner. His course content is designed to be easy to understand, yet powerful in its application. Whether you're an absolute beginner or an experienced professional, Oliver's goal is to help you build the skills and knowledge you need to succeed in your field.
    Note: "Published in May 2023.". - Online resource; title from title details screen (O'Reilly, viewed June 13, 2023)
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  • 18
    Online Resource
    Online Resource
    ChatGPT 101 : supercharge your work and life with ChatGPT (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835081785 , 1835081789
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 15 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: ChatGPT ; Natural language generation (Computer science) Computer programs ; Neural networks (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: ChatGPT is an advanced AI-based conversational agent developed by OpenAI. It is a large language model trained on massive data to understand natural language and generate human-like responses to various questions and prompts. ChatGPT is designed to engage in multiple conversational tasks, from answering general knowledge questions to providing personalized recommendations and advice. This course begins with a brief introduction to ChatGPT and LLMs and delves into tips for success and getting the most out of ChatGPT. It discusses in detail the strengths, weaknesses, restrictions, and limitations of ChatGPT. The importance of verifying information and finding relevant sources is examined. You will learn to create a Notion Swipe File to supercharge our ChatGPT use and different strategies for drafting perfect prompts. We will explore advanced prompt engineering to enhance our outputs and the art of utilizing follow-up prompts. You will learn to tailor prompt outputs to specific voice tones and use context primers to personalize your outputs further. We will explore endless lists of ideas regarding verbs, formats, expert personas, and customer archetypes. Upon completion, you will be adept at using ChatGPT for social media content creation, account growth, and post ideation, and improve efficiency in professional and personal settings. What You Will Learn Explore advanced features and capabilities of ChatGPT Understand the strengths, weaknesses, and limitations of ChatGPT Acquire problem-solving/decision-making skills with ChatGPT predictivity Develop skills to train and fine-tune ChatGPT models for specific apps Understand the ethical/potential risks of using AI in communication Learn advanced AI art and graphics generation (using ChatGPT/MidJourney) Audience This course is designed to be accessible to learners of all levels and caters to professionals and freelancers who are seeking to integrate ChatGPT into their work and personal lives; students looking to upskill and learn how to utilize ChatGPT in their schooling best; and jobseekers looking to leverage the tool to increase their chances of landing their dream career. The prerequisites for the course include a ChatGPT account and the willingness to learn. No coding or technical knowledge is required to complete the course. About The Author Sean Melis: Sean is a seasoned multimodal designer with 15 years of experience, skilled in social media marketing, web design, video production, community management, technology consulting, and conversational AI. As the founder of a successful startup, Bot Hello, he has developed chatbots for renowned brands like Maybelline New York, Lanc©þme, Anytime Fitness, and Mercedes Benz, and for Australia's largest music festivals, health-food brands, and AFL teams. Sean has worked as an AI consultant for Deloitte. Courier Mail recognized him as a B&T 30 Under 30 Entrepreneur and Top 20 Under 40 Entrepreneur. Sean enjoys helping people understand and utilize tools like ChatGPT, fulfilling their lives and focusing on activities they love.
    Note: "Published in May 2023.". - Online resource; title from title details screen (O'Reilly, viewed June 13, 2023)
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  • 19
    Online Resource
    Online Resource
    ChatGPT and DALL-E : sell your creative thinking with AI (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835086667 , 1835086667
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 36 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: ChatGPT ; Natural language generation (Computer science) Computer programs ; Neural networks (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In today's world, artificial intelligence (AI) is changing the way we create content. AI models like ChatGPT and DALL-E 2 are becoming increasingly sophisticated, enabling us to generate high-quality text and images at an unprecedented speed and scale. As a result, it's essential for creatives to understand how to leverage these tools effectively. In this course, you will learn the fundamentals of generative AI and how to use it ethically and responsibly. You will discover the strengths and limitations of these models and when to use them for content creation. You will also explore various applications of AI in the creative industries and the legal and ethical implications of using these tools. The course begins with an introduction to generative AI and an overview of popular models such as ChatGPT and DALL-E 2. You will then delve into the strengths and limitations of AI, including its ability to create content quickly, revise content, and break through creative block. You will also learn about the limitations of AI, including the finite nature of training data, issues of accuracy, plagiarism, and bias, and the need for human modification. By the end of the course, you will have a solid understanding of the role of AI in content creation and the ethical considerations that come with using these tools. You will be able to navigate the strengths and limitations of AI and make informed decisions about when and how to use it. What You Will Learn Navigate risks and limitations of AI Master prompt engineering techniques for quality output Understand key legal concepts for professional usage Address AI bias to improve creative work Develop AI guidelines for team best practices Embrace transparency for unique human perspective Audience This course is designed for creatives, marketers, and anyone interested in learning how to use generative AI tools for content creation. No prior experience with AI is required, as the course covers the fundamentals of AI and the capabilities and limitations of generative AI. However, a basic understanding of digital media tools and technology is recommended. You should also have access to a computer and a stable internet connection. About The Author AI Daily LLC: XCHAIN ANALYTICS LTD is a leading analyst and full-stack developer with expertise in Python and React. Their passion lies in discovering and promoting innovative ideas that are often overlooked in the hype-driven tech industry. With a focus on authenticity and practicality, XCHAIN ANALYTICS strives to share their knowledge and empower others through teaching. They believe in the power of continuous learning and experimentation and often find themselves exploring new ventures. However, they always return to teaching as their true calling, where they can put their ideas into action and help others effectively.
    Note: "Published in May 2023.". - Online resource; title from title details screen (O'Reilly, viewed June 13, 2023)
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  • 20
    Online Resource
    Online Resource
    ChatGPT and prompt engineering for software development (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835081181 , 1835081185
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 25 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: ChatGPT ; Natural language generation (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: ChatGPT is an advanced language model that generates human-like text. Prompt engineering involves shaping prompts to elicit desired responses, a valuable technique in software development, allowing developers to interact with ChatGPT for explanations, code snippets, design suggestions, and documentation assistance. The course begins with an introduction to ChatGPT, its capabilities, and applications in software development. You will learn to use ChatGPT for certification preps as a study aid and resource to understand key concepts. The course covers how ChatGPT can be utilized for tech interview preparation, practicing coding challenges, answering technical questions, and enhancing interview performance. We will explore how ChatGPT can be used in Docker, understanding Docker concepts. Moving on, we will delve into designing software systems with ChatGPT and brainstorm and evaluate design options, patterns, and trade-offs. You will learn to program with ChatGPT, seek explanations, and code examples in various programming languages/frameworks. Upon completion, we will gain a comprehensive understanding of ChatGPT/prompt engineering techniques that will enable us to effectively utilize ChatGPT to enhance software development productivity and acquire skills to design systems, write programs, and create documents with the assistance of ChatGPT. What You Will Learn Use ChatGPT to develop software on different languages/frameworks Learn strategies for using ChatGPT to prepare for certifications Explore techniques to excel in technical interviews using ChatGPT Integrate ChatGPT with Docker for enhanced development workflows Design software systems using ChatGPT for improved design options Build software development projects with ChatGPT to boost productivity Audience This course is ideal for beginners interested in using ChatGPT for software development. Whether you are a software developer, engineer, or someone looking to enhance productivity in software development, this course is designed to equip you with the necessary skills to leverage ChatGPT effectively. Regardless of your current level of expertise, this course will help you harness the power of ChatGPT to boost your productivity and optimize your software development workflows. Basic programming knowledge is recommended as a prerequisite for this course. About The Author Praveenkumar Bouna: Praveenkumar Bouna is a highly rated cloud instructor with a 4.5 instructor rating and over 2,869 reviews. He has taught over 31,154 students across 18 courses. With a background in the security domain and experience at Honeywell, Praveen has extensive expertise in designing and developing products using the .NET stack. He holds a patent and has presented two papers in the field. Praveen is a Certified ScrumMaster (CSM) and has served as a Scrum Master for a Security R&D team for over 6 years. He has published 30+ Udemy courses and Udemy Labs, sharing his knowledge with over 25,000 students on various software development topics. Explore Praveenkumar Bouna's courses below, covering Azure, Web Development, Scrum, and C# Development, to expand your skills in these areas.
    Note: "Published in July 2023.". - Praveenkumar Bouna, presenter. - Online resource; title from title details screen (O'Reilly, viewed August 3, 2023)
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  • 21
    Online Resource
    Online Resource
    Craft an AutoGPT code generation AI instrument leveraging Rust and GPT-4 (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835085417 , 1835085415
    Language: English
    Pages: 1 online resource (1 video file (16 hr.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Rust (Computer program language) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In this course, we will embark on an exciting journey to master Rust programming from zero to hero, while leveraging the cutting-edge GPT-4 (ChatGPT) to build our very own AutoGPT agent, named "Auto-Gippity". Starting with a Rust crash course, you will learn the language inside out, progressing from basic concepts to intermediate and advanced topics. We will explore Rust installation, creating projects, functions, and more. This strong Rust foundation will set the stage for our AutoGPT project. Next, we will dive into the heart of the course. We will develop a web server template using Actix Web in Rust, integrating AI functions to write, test, and optimize code. Our AutoGPT agent, "Gippity", will amaze you by accepting tasks, breaking them down, and delegating them to specialized agents. We will create agents such as the Solutions Architect, Backend Developer, and more, each with unique roles to enhance Gippity's capabilities. Finally, we will put Gippity to the test. We will perform comprehensive evaluations, including human reviews, to ensure the accuracy and reliability of the code it generates. We will explore overcoming limitations and discuss the next steps for our AutoGPT project, leaving you with a clear roadmap to continue your AI and Rust journey. By the end of this course, you will be a proficient Rust programmer with an in-depth understanding of AI integration. What You Will Learn Build a fully functional web server using Actix Web framework in Rust Create an AutoGPT agent "Auto-Gippity" to generate, test, and optimize code Implement AI functions for precise responses from large-language-models Understand Rust's memory management and performance advantages Explore the creation of specialized AutoGPT agents for various tasks Master unit testing, error handling, and lifetimes in Rust Audience This course is designed for intermediate programmers looking to enhance their programming skills and venture into the world of Rust and AI-driven code generation. If you have a passion for cutting-edge technologies and a desire to build powerful automation tools, this course is for you. To make the most of this course, you should have a basic understanding of programming concepts and be able to program in another language. Familiarity with concepts such as for loops, if statements, and functions is essential, as we will dive straight into Rust programming. Additionally, access to the OpenAI GPT-4 API is required. About The Author XCHAIN ANALYTICS LTD: XCHAIN ANALYTICS LTD is a leading analyst and full-stack developer with expertise in Python and React. Their passion lies in discovering and promoting innovative ideas that are often overlooked in the hype-driven tech industry. With a focus on authenticity and practicality, XCHAIN ANALYTICS strives to share their knowledge and empower others through teaching. They believe in the power of continuous learning and experimentation and often find themselves exploring new ventures. However, they always return to teaching as their true calling, where they can put their ideas into action and help others effectively.
    Note: "Published in August 2023.". - Online resource; title from title details screen (O'Reilly, viewed September 05, 2023)
    URL: lizenzpflichtig
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  • 22
    Online Resource
    Online Resource
    Build apps and fine-tune LLMs using the OpenAI API (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835466759 , 1835466753
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 20 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: ChatGPT ; Artificial intelligence ; Natural language processing (Computer science) ; Intelligence artificielle ; Traitement automatique des langues naturelles ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: This hands-on course on OpenAI API and ChatGPT is a meticulously crafted course that caters to both beginners and seasoned professionals. You will begin by establishing a solid foundation with AI definitions and acronyms, progressing seamlessly to creating an OpenAI account, setting up your environment, and understanding pricing structures. Next, you will learn to navigate the landscape of language models and transformers, unraveling their transformative power in generative AI. Dive into advanced techniques such as prompt engineering and thought prompting, gaining insights into how language models process prompts with encoders. Real-world applications come to life as you explore translating articles, generating images, and utilizing the text-to-speech and Computer Vision APIs for diverse tasks. From basic to advanced translation techniques, including subtitle translation to multiple languages, the course ensures that you are equipped for a broad spectrum of applications. Finally, grasp the nuances of fine-tuning, deploy models with the OpenAI API, and navigate the ethical considerations with dos and don'ts in AI. By the end of the course, you will gain the expertise needed to use the capabilities of ChatGPT and OpenAI API for language tasks. What you will learn Learn about OpenAI and its functionalities Learn to generate text with the OpenAI API Learn to translate with OpenAI API Learn to summarize with OpenAI API Learn to use OpenAI API with other libraries Learn to deploy OpenAI applications with GCP and AWS Audience This course is tailored for developers eager to harness the power of ChatGPT and the OpenAI API for language processing tasks. Whether you are an experienced developer looking to enhance your skills or a beginner with no prior experience in ChatGPT or the OpenAI API, this course provides a comprehensive and accessible learning journey. A basic understanding of Python, AWS, GCP, or a deployment environment would be beneficial. About the Author Delta X Technology LLC: Delta X Technology LLC is owned by Justin B, a highly skilled software engineer and AI creator with five years of industry experience. With a strong background in both theoretical and practical aspects of software engineering, Justin has worked on several projects involving machine learning. As the owner of Delta X Technology LLC, he is dedicated to sharing his expertise with students and helping them develop the skills needed to succeed in the field of AI. With a passion for teaching and a wealth of real-world experience, Justin offers students a unique perspective and valuable insights into the latest trends and best practices in AI development.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 3, 2023)
    URL: lizenzpflichtig
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  • 23
    Online Resource
    Online Resource
    Recommender systems with machine learning (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781837631667 , 1837631662
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 17 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.5/6
    Keywords: Recommender systems (Information filtering) ; Machine learning ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Have you ever thought how YouTube adjusts your feed as per your favorite content? Ever wondered! Why is your Netflix recommending your favorite TV shows? Have you ever wanted to build a customized recommender system for yourself? Then this is the course you are looking for. We will begin with the theoretical concepts and fundamental knowledge of recommender systems. You will gain an understanding of the essential taxonomies that form the foundation of these systems. You will be learning how to use the power of Python to evaluate your recommender systems datasets based on user ratings, user choices, music genres, categories of movies, and their year of release. A practical approach will be adopted to build content-based filtering and collaborative filtering techniques for recommender systems. Moving ahead, you will learn all the basic and necessary concepts for the applied recommender systems models along with the machine learning models. Moreover, various projects have been included in this course to develop a very useful experience for you. By the end of this course, you will be able to relate the concepts and theories for recommender systems in various domains, implement machine learning models for building real-world recommendation systems, and evaluate the machine learning models. What Yoy Will Learn Explore AI-integrated recommender systems basics Look at the basic taxonomy of recommender systems Study the impact of overfitting, underfitting, bias, and variance Build content-based recommender systems with ML and Python Build item-based recommender systems using ML techniques and Python Learn to model KNN-based recommender engine for applications Audience No prior knowledge of recommender systems, machine learning, data analysis, or mathematics is needed. Only the working knowledge of basics of Python is required. You will start from the basics and gradually build your knowledge in the subject. This course is designed for both beginners with some programming experience and even those who know nothing about data analysis, ML, and RNNs. The course is suitable for individuals who want to advance their skills in ML, master the relation of data analysis with ML, build customized recommender systems for their applications, and implement ML algorithms for recommender systems. About The Author AI Sciences: AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences. Their courses have successfully helped more than 100,000 students master AI and data science.
    Note: "Published March 2023.". - Online resource; title from title details screen (O'Reilly, viewed April 11, 2023)
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  • 24
    Online Resource
    Online Resource
    Recommender systems : an applied approach using deep learning (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781837638062 , 1837638063
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 2 min.)) , sound, color.
    Edition: [First edition].
    DDC: 025.04
    Keywords: Recommender systems (Information filtering) ; Artificial intelligence ; Machine learning ; Artificial intelligence ; Machine learning ; Recommender systems (Information filtering) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Recommender systems are used in various areas with commonly recognized examples, including playlist generators for video and music services, product recommenders for online stores and social media platforms, and open web content recommenders. Recommender systems have also been developed to explore research articles and experts, collaborators, and financial services. The course begins with an introduction to deep learning concepts to develop recommender systems and a course overview. The course advances to topics covered, including deep learning for recommender systems, understanding the pros and cons of deep learning, recommendation inference, and deep learning-based recommendation approach. You will then explore neural collaborative filtering and learn how to build a project based on the Amazon Product Recommendation System. You will learn to install the required packages, analyze data for products recommendation, prepare data, and model development using a two-tower approach. You will learn to implement a TensorFlow recommender and test a recommender model. You will make predictions using the built recommender system. Upon completion, you can relate the concepts and theories for recommender systems in various domains and implement deep learning models for building real-world recommendation systems. What You Will Learn Learn about deep learning and recommender systems Explore the mechanisms of deep learning-based approaches Learn to implement a two-tower model for recommenders Implement TensorFlow to develop a recommender system Learn basic neural network models for recommendations Explore neural collaborative filtering and variational autoencoders Audience This course is designed for individuals looking to advance their skills in applied deep learning, understand relationships of data analysis with deep learning, build customized recommender systems for their applications, and implement deep learning algorithms for recommender systems. Individuals passionate about recommender systems with the help of TensorFlow Recommenders will benefit from this course. Deep learning practitioners, research scholars, and data scientists will also benefit from the course. The prerequisites include a basic to intermediate knowledge of Python and Pandas library. About The Author AI Sciences: AI Sciences is a group of experts, PhDs, and practitioners of AI, ML, computer science, and statistics. Some of the experts work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. They have produced a series of courses mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, their objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory. Today, they also publish more complete courses for a wider audience. Their courses have had phenomenal success and have helped more than 100,000 students master AI and data science.
    Note: "Published in February 2023.". - Online resource; title from title details screen (O'Reilly, viewed March 21, 2023)
    URL: lizenzpflichtig
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  • 25
    Online Resource
    Online Resource
    Make apps with ChatGPT and generative AI (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781805124597 , 1805124595
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 29 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: ChatGPT ; Natural language generation (Computer science) ; Neural networks (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: ChatGPT is a language generation model developed by OpenAI. Its newest form, Davinci, is behind the ChatGPT program we all know. It grew popular in December 2022 after people started using it and seeing how amazingly it deals with prompt-response completion questions. This course's objective is to build applications and solutions with ChatGPT. You will do that by learning more about OpenAI and ChatGPT and how to use their APIs in your platforms. You will create a serverless function that can take ChatGPT prompts and return responses--the first step to integrate your ChatGPT into your app. You will learn to incorporate the ChatGPT API into many platforms. Connect to OpenAI API and create Azure functions that leverage ChatGPT. Finally, you will develop complete applications and solution examples, including CoverLetterCreator, StockPhotoPPT, PolitelySayNo, and TravelPlan. Upon completion, you will use ChatGPT to increase your productivity and build real-life solutions and applications from scratch using ChatGPT. You will leverage this unique AI model with other OpenAI models such as DALL-E to create business software independently. You will integrate the API into different platforms, including Outlook, Power Apps, Power Automate, Airtable, and Bubble, and build real-life applications and solutions from scratch. What You Will Learn Integrate ChatGPT into business, Outlook, Teams, Excel, and Bubble Build no-code apps, Power Apps, Airtable, TravelPlan, and Tchat Create an app to plan itineraries based on location and trip length Integrate ChatGPT API into Azure Functions to incorporate it anywhere Build a ChatGPT app to create cover letters based on jobs and resumes Make an app to generate stock photos for pitch presentations, slide decks Audience This course is designed for managers and employees who want to integrate ChatGPT into their daily workflows, to improve the efficiencies of their teams by integrating ChatGPT into their tools. Individuals wishing to build and monetize full applications and solutions using ChatGPT or students who want to learn to link ChatGPT into other application/solution-building software such as Bubble, Airtable, Power Apps, and more benefit from this course. About The Author HHN Automate Book Inc.: Henry Habib is a seasoned manager at a leading management consulting firm. He leverages his expertise to provide counsel on growth strategy, operation, and analytics to Fortune 500 companies. With a strong background in implementing data-driven solutions, Henry has a proven track record of making an impact in organizations of all sizes. He strongly advocates for no-code application development in business and deploys such solutions for his clients. These solutions are not only easier to understand but also quicker to implement. In addition to his consulting work, Henry is a dedicated professor who takes pleasure in guiding students toward success in various fields, ranging from case interviews to no-code application development and automation. His courses are designed to be engaging and informative, and he is always available to assist students in mastering challenging concepts.
    Note: "Published in April 2023.". - Online resource; title from title details screen (O'Reilly, viewed April 24, 2023)
    URL: lizenzpflichtig
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  • 26
    Online Resource
    Online Resource
    Chatbots development with Amazon Lex (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781837638529 , 1837638527
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 7 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.33
    Keywords: Amazon Web Services (Firm) ; Human-computer interaction ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Amazon Lex, a fully-controlled AI service, has sophisticated natural language models to create, develop, test, and deploy chatbots (conversational interfaces) in applications. Amazon Web Service (AWS) provides AWS Lambda, a serverless computing service without provisioning or managing servers. The course begins with an exhaustive overview of the fundamentals of AWS for chatbots, training chatbot development with deep learning. Afterward, we will delve into the characteristics of AWS and its notable functionalities. Following this, we will embark on constructing a chatbot for hotel booking utilizing Amazon Lex. Subsequently, we will acquire the skills to establish an AWS Lambda function and establish its connection with Amazon Lex. Then, we will cover the concepts of chatbot backend development for AWS Lex and AWS Lambda. We will further advance to integrate the chatbot with Twilio and learn to use the AWS Software Development Kit. Website integration of AWS Lex chatbot and implementing response cards with chatbots is the final concept that we will explore in the course. Upon completing this course, you will relate concepts and theories for chatbots in various domains, gain extensive understanding, and learn to implement AWS Lex and AWS Lambda for building real-world chatbots. You will independently build customized chatbots with AWS Lex and AWS Lambda and integrate your chatbots with WhatsApp, messaging apps, and websites. What You Will Learn Learn the fundamentals of Amazon Web Services (AWS) Gain hands-on chatbot development with Amazon Lex and Amazon Lambda Explore web-based Amazon Web Services chatbot development Run code on AWS Lambda without provisioning or managing servers Learn practical usage of Twilio and its integration with AWS for chatbots Explore the functionality of Amazon Lex for chatbot development Audience This course is tailored for individuals interested in AWS and applying AWS Lex and AWS Lambda for chatbot development. This course will benefit individuals interested in building customized chatbots for their applications--AI practitioners, chatbot developers, research scholars, data scientists, and so on. About The Author AI Sciences: AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences. Their courses have successfully helped more than 100,000 students master AI and data science.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 11, 2023)
    URL: lizenzpflichtig
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  • 27
    Online Resource
    Online Resource
    Recommender systems complete course beginner to advanced (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781837632039 , 1837632030
    Language: English
    Pages: 1 online resource (1 video file (8 hr., 15 min.)) , sound, color.
    Edition: [First edition].
    DDC: 025.04
    Keywords: Recommender systems (Information filtering) ; Artificial intelligence ; Artificial intelligence ; Recommender systems (Information filtering)
    Abstract: Recommender systems are algorithms that suggest relevant items to users (movies, books, products, or a service). Recommender systems are critical in specific industries to generate massive incomes efficiently or stand out significantly from competitors. The course begins with basic recommender system concepts. You will learn important recommender system taxonomies and recommender system mechanism development using machine and deep learning with Python. Python as a programming language will be taught in this course to implement machine and deep learning concepts efficiently. You will model a k-nearest neighbor-based recommender engine for various applications and know the pros and cons of deep learning-based mechanisms. You will build a recommender system for apps such as Spotify and explore neural collaborative filtering and variational auto-encoders for collaborative filtering. You will explore various matrices (item context, user rating, and error). You will understand recommender system quality, online/offline evaluation techniques, dataset partitioning, and overfitting. Upon completing the course, you will understand the roles and impacts of recommender systems in real-world applications with a unique hands-on experience in developing complete recommender system engines for customized datasets in various projects. What You Will Learn Explore recommender systems with integrated artificial intelligence Build item-based recommender systems with machine learning/Python Understand the pros and cons of deep learning in recommender systems Learn the basic neural network models for recommendations Understand the mechanism of generic deep learning-based approaches Implement two-tower models for developing a recommender system Audience This course is designed for individuals wanting to advance their applied machine/deep learning and master data analysis; individuals wishing to build customized recommender systems for their apps and implement machine/deep learning algorithms; individuals passionate about content and collaborative filtering-based and two tower-based recommender systems. Machine and deep learning practitioners, research scholars, and data scientists would also benefit from this course. As prerequisites, no prior recommender systems, ML, data analysis knowledge is needed. Basic Python knowledge is required. About The Author AI Sciences: AI Sciences is a group of experts, PhDs, and practitioners of AI, ML, computer science, and statistics. Some of the experts work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. They have produced a series of courses mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, their objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory. Today, they also publish more complete courses for a wider audience. Their courses have had phenomenal success and have helped more than 100,000 students master AI and data science.
    Note: "Published in February 2023."
    URL: lizenzpflichtig
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  • 28
    Online Resource
    Online Resource
    Prompt engineering for everybody with ChatGPT and GPT4 (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781805122005 , 1805122002
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 47 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: ChatGPT ; Natural language generation (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Prompt engineering is strategically designing and modifying prompts used in ChatGPT to achieve desired outputs and crafting prompts that provide clear instructions, relevant context, or specific constraints to guide the generation process. The course begins with an introduction to prompt engineering and then briefly covers the course overview and objectives and any additional resources available in the course. We then move over to the basics of prompt engineering in further detail, including inputs, outputs, parameters, and learning to craft simple prompts. We will then evaluate the prompts and the best practices and tricks in prompts engineering techniques, Chain-of-Thought prompting, multilingual and multimodal prompts, and the non-deterministic nature of AI and human-AI collaboration. We will automate emails and social media posts and generate content in blogs, articles, and reports. We will indulge in creative writing and brainstorming to generate ideas and drafts, efficient research and information curation, task management, and decision-making. We will explore fairness and reducing bias, privacy, and data security. Upon completing the course, we will look at real-life scenarios and use cases for AI, learn to use prompt engineering, and practice newly learned techniques to leverage the power of prompts in ChatGPT. What You Will Learn Understand the basics and how to create prompts as a skill Discover role and nested prompting and advanced prompt engineering Learn about multilingual and multimodal AI systems Automate emails, social media posts, and write blogs and reports Learn creative writing, brainstorming, manage tasks/decision-making Learn about the responsible use of AI and ethical considerations Audience This course is designed to cater to technical and nontechnical individuals looking to join the AI revolution soon. Avid learners that want to stay ahead of the curve and enhance their skills to achieve their maximum potential using AI tools, trainers and educators, managers, researchers, data analysts, creative writers, bloggers, social media managers, human resource officers, auditors, sales representatives, marketing specialists, copywriters, and project managers can benefit from this course. This course does not have any specific prerequisites other than basic computer knowledge. About The Author Andrei Gheorghiu: Andrei Gheorghiu is an experienced trainer, passionate about helping learners achieve their maximum potential. With a background in IT audit, information security, and IT service management, he has delivered training to over 10,000 students across different industries and countries. He brings expertise and empathy to his teaching as a trainer and quality reviewer of accredited ITIL training courses. He is also a Certified Information Systems Security Professional and Certified Information Systems Auditor interested in digital domains such as security management and artificial intelligence. He enjoys trail running, photography, video editing, and exploring the latest technological developments in his free time.
    Note: "Published in April 2023.". - Online resource; title from title details screen (O'Reilly, viewed May 23, 2023)
    URL: lizenzpflichtig
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  • 29
    Online Resource
    Online Resource
    Learn Midjourney for your future 6 figure career (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835089934 , 1835089933
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 776
    Keywords: Computer graphics Programming ; Computer art ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Midjourney is a user-friendly platform that revolutionizes the design process. It empowers designers of all levels to create stunning visuals effortlessly. With its versatile tools and intuitive interface, Midjourney opens a world of endless creativity. Whether you are an aspiring designer or a seasoned professional, this platform provides the tools and resources to propel your design career forward. The course begins with an introduction to Midjourney, guiding us through the initial setup and familiarizing us with the platform's features. We will explore different techniques to capture and express creative vision, generate captivating images and patterns, optimize designs by adjusting aspect ratios, and utilize stylization commands. The course delves into advanced topics such as testing models, adjusting quality settings, and leveraging chaos for desired outcomes. You will learn time-saving strategies, including using presets and assigning importance to words. Ethical considerations surrounding Midjourney are addressed, as well as real-world applications for business growth. Upon completion, you will be equipped with the skills to confidently navigate Midjourney, create stunning visuals, optimize designs, and use its features for personal and professional growth, unleashing the full potential of this innovative design platform. What You Will Learn Learn to create stunning designs using Midjourney's AI capabilities Explore and master various art styles on the Midjourney platform Use essential commands in Midjourney to optimize design workflow Develop skills in crafting repeatable and versatile patterns Design engaging/expressive art content for personal/commercial use Discover strategies to turn Midjourney creations into profitable ventures Audience This course is ideal for those eager to embrace new technology, equivalent to learning to code 20 years ago. Designers seeking to stay relevant and up to date with cutting-edge technology will find tremendous value in mastering Midjourney and gain the opportunity to propel their skills and career forward in the ever-evolving world of design. The prerequisites include the Midjourney Basic Plan, which offers an affordable monthly subscription at just $10. With this plan, you gain access to a range of features and tools that will enable you to create fantastic designs. About The Author Cristian Doru Barin: Chris Barin is a seasoned web and app designer with extensive Photoshop experience. As an Adobe Certified Instructor and Photoshop Expert, he has gained the trust of over 270,000 students worldwide. Chris's courses are practical and result-driven, emphasizing efficiency. From his freelance beginnings to running a successful Android design studio, he has earned over $50k and amassed 100 million app downloads. Passionate about teaching, Chris shares his experiences vocally, offering top-rated/best-selling courses on Udemy. His responsiveness, clear explanations, and effective teaching style have a huge fan following. He loves to connect with learners to enhance their learning experience and gain valuable insights into the design industry.
    Note: "Published in May 2023.". - Online resource; title from title details screen (O'Reilly, viewed June 13, 2023)
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  • 30
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    Online Resource
    Deep learning : Artificial neural networks with Tensorflow (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781804617250 , 1804617253
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 48 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: TensorFlow ; Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: TensorFlow is the world's most popular library for deep learning, and it is built by Google. It is the library of choice for many companies doing AI and machine learning. So, if you want to do deep learning, you got to know TensorFlow. In this course, you will learn how to use TensorFlow 2 to build deep neural networks. We will first start by learning the basics of machine learning, classification, and regression. Then in the next section, we will understand the connection between artificial neural networks and biological neural networks and how that inspires our thinking in the field of deep learning. In the last two sections, you will learn about loss functions to understand mean squared error, binary cross entropy, and categorical cross entropy and gradient descent to understand stochastic gradient descent, momentum, variable and adaptive learning rates, and Adam optimization. By the end of this course, we will have understood how to use TensorFlow for artificial neural networks in deep learning. What You Will Learn Understand what machine learning is Build linear models with TensorFlow 2 Learn how to build deep neural networks with TensorFlow 2 Learn how to perform image classification and regression with ANN Learn loss functions such as mean-squared error and cross-entropy loss Learn about stochastic gradient descent, momentum, and Adam optimization Audience This course is designed for anyone interested in deep learning and machine learning, anyone who wants to implement deep neural networks in TensorFlow 2, or anyone interested in building a foundation for convolutional neural networks, recurrent neural networks, LSTMs (Long Short Term Memory), and transformers. One must have decent Python programming skills and should be comfortable with data science libraries such as NumPy and Matplotlib. About The Author Lazy Programmer: The Lazy Programmer is an AI and machine learning engineer with a focus on deep learning, who also has experience in data science, big data engineering, and full-stack software engineering. With a background in computer engineering and specialization in machine learning, he holds two master's degrees in computer engineering and statistics with applications to financial engineering. His expertise in online advertising and digital media includes work as both a data scientist and big data engineer. He has created deep learning models for prediction and has experience in recommendation systems using reinforcement learning and collaborative filtering. He is a skilled instructor who has taught at universities including Columbia, NYU, Hunter College, and The New School. He has web programming expertise, with experience in technologies such as Python, Ruby/Rails, PHP, and Angular, and has provided his services to multiple businesses.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 20, 2023)
    URL: lizenzpflichtig
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  • 31
    Online Resource
    Online Resource
    Adobe Firefly : start building and delivering in under 30 minutes (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835883143 , 1835883141
    Language: English
    Pages: 1 online resource (1 video file (30 min.)) , sound, color.
    Edition: [First edition].
    DDC: 776
    Keywords: Computer art ; Generative art ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Adobe Firefly puts the power of AI-generated images, text, and more directly into your creative workflow. In this comprehensive tutorial, teacher and Adobe expert Joseph Labrecque walks you through getting started with Firefly to boost your productivity and spark new creative possibilities. You'll learn how to generate AI art, photos, and text effects using intuitive text prompts. See how to refine and iterate on generations using Firefly's robust controls over styles, concepts, composition, and more. Discover workflows to easily bring AI generations into apps like Photoshop and Express to expand and enhance your work. The video covers key techniques like generative fill and expansion in Photoshop, leveraging Firefly in Express, and sharing your creations. With Joseph's in-depth guidance and hands-on demonstration, you'll gain the skills to harness Firefly's generative power to rapidly ideate, accelerate your workflow, and unlock new creative potential. What you will learn Demo of Firefly in Photoshop and Express integration How to generate images, text effects, and more with text prompts Methods to refine and iterate on generations using Firefly's controls Workflows to bring AI generations into Photoshop, Express, and other apps Techniques like generative fill, expansion, and text effects How to share and submit your AI creations to the Firefly community Audience Creatives, designers, and artists looking to infuse their work with the power of generative AI. This tutorial is perfect for individuals interested in exploring Adobe Firefly to streamline their creative process and enhance their projects with AI-generated images, text effects, and more. About the Author Joseph Labrecque: Joseph Labrecque is a creative developer, designer, and educator with nearly two decades of experience creating expressive web, desktop, and mobile solutions. He joined the University of Colorado Boulder College of Media, Communication and Information as faculty with the Department of Advertising, Public Relations and Media Design in Autumn 2019. His teaching focuses on creative software, digital workflows, user interaction, and design principles and concepts. Before joining the faculty at CU Boulder, he was associated with the University of Denver as adjunct faculty and as a senior interactive software engineer, user interface developer, and digital media designer. Labrecque has authored a number of books and video course publications on design and development technologies, tools, and concepts through publishers which include LinkedIn Learning, Apress, Peachpit, Packt, and Adobe. He has spoken at large design and technology conferences such as Adobe MAX and for a variety of smaller creative communities. He is also the founder of Fractured Vision Media, LLC; a digital media production studio and distribution vehicle for a variety of creative works. Joseph is an Adobe Education Leader, Adobe Community Expert, and member of Adobe Partners by Design. He holds a bachelor's degree in communication from Worcester State University and a master's degree in digital media studies from the University of Denver.
    Note: Online resource; title from title details screen (O'Reilly, viewed Decenber 19, 2023)
    URL: lizenzpflichtig
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  • 32
    Online Resource
    Online Resource
    Prompt engineering : for optimal LLM performance (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835881521 , 1835881521
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 2 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5 5
    Keywords: Natural language generation (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Prompt engineering is key to harnessing the immense capabilities of large language models. In this in-depth masterclass, data and AI specialist Valentina Alto unveils the art and science behind crafting effective prompts. You'll learn proven techniques to optimize prompting, control model behavior, reduce risks like hallucination, and overcome limitations. Valentina provides specific strategies to make your LLMs more precise, aligned to your goals, and production ready. With her deep expertise and hands-on guidance, you'll be able to create prompts that act as precise instructions enabling your large language models to deliver peak performance. This masterclass equips you with prompt engineering skills to build conversative AI applications that leverage the full potential of LLMs. What you will learn Fundamentals of prompting and how it powers LLM applications Principles and advanced techniques for strategic prompt engineering Techniques to reduce risks like hallucination through careful prompting Approaches to chain prompting for multi-step reasoning Defensive techniques to secure prompts against injection attacks Ways to protect prompts against hacking attempts and misuse Audience This masterclass is ideal for anyone seeking to unlock the full potential of LLMs through advanced prompt engineering techniques. Whether you're a seasoned AI professional or someone looking to delve into the intricacies of optimizing LLM performance, this session provides valuable insights and actionable strategies. About the Author Valentina Alto: After completing her bachelor's degree in finance, Valentina Alto pursued a master's degree in data science in 2021. She began her professional career at Microsoft as an Azure Solution Specialist, and since 2022, she has been primarily focused on working with Data & AI solutions in the Manufacturing and Pharmaceutical industries. Valentina collaborates closely with system integrators on customer projects, with a particular emphasis on deploying cloud architectures that incorporate modern data platforms, data mesh frameworks, and applications of Machine Learning and Artificial Intelligence. Alongside her academic journey, she has been actively writing technical articles on Statistics, Machine Learning, Deep Learning, and AI for various publications, driven by her passion for AI and Python programming.
    Note: Online resource; title from title details screen (O'Reilly, viewed Decenber 19, 2023)
    URL: lizenzpflichtig
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  • 33
    Online Resource
    Online Resource
    A complete guide to learning ChatGPT 4, Midjourney, DALL-E 2, and AI tools (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781805123910 , 1805123912
    Language: English
    Pages: 1 online resource (1 video file (10 hr., 43 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: ChatGPT ; Natural language generation (Computer science) Computer programs ; Neural networks (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: ChatGPT is a large language model developed by OpenAI based on GPT (Generative Pre-trained Transformer), capable of generating human-like responses to natural language inputs and trained on a massive corpus of text data, making it highly proficient in tasks, including language translation, text summarization, and conversational dialogue. This course begins with an introduction to the fundamentals, prompting ideas for ChatGPT, and moves on to simplify complex information and prompt engineering. We will explore content creation, social media, copywriting, SEO, and video scripts and then into code generation, algorithms, debugging, and documentation. You will learn about Midjourney setup, settings, workflow, commands, prompting, and stylization. We will understand reiterating, upscaling, aspect ratios, and remixing, and then advance to DALL-E 2 website interface, layout, prompting, creating variations, inpainting, outpainting, and blending multiple images. We will explore generative AI for gigs, side hustles, freelance, and selling items online, create a talking AI avatar, bulk create TikTok, reels, and shorts. Upon completion, this course provides the skills and knowledge needed to leverage and benefit from the incredible AI tools revolutionizing how we approach work, tasks, and creativity. What You Will Learn Explore ChatGPT fundamentals and 150+ prompting ideas for ChatGPT Simplify complex information and prompt engineering using ChatGPT Use generative AI for gigs, side hustles, freelance, and selling online Use ChatGPT to generate code and algorithms, debug and document Explore Midjourney workflow, commands, prompting, and stylization Use DALL-E 2 for a website interface, layout, prompts, and creating variations Audience This course is designed for individuals interested in using AI tools like ChatGPT to create amazing content, regardless of background or experience. Whether you are an entrepreneur, student, professional, or just a curious learner, this course is accessible, engaging, and empowering for everyone keen on using ChatGPT. The prerequisites include no prior experience with AI or programming, but an eagerness to learn and explore new technologies is desirable. About The Author Julian Melanson: Julian Melanson is a full-time teacher and best-selling instructor dedicated to helping students realize their full potential. With the honor of teaching over 150,000 students from 130 countries across the globe, he has honed his teaching skills to become an expert in this field. He focuses on unlocking the potential of creativity and productivity with AI tools and filmmaking techniques learned over the years, creating countless content for clients from many industries.
    Note: "Published in April 2023.". - Online resource; title from title details screen (O'Reilly, viewed May 23, 2023)
    URL: lizenzpflichtig
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  • 34
    Online Resource
    Online Resource
    Data science, analytics, and AI for business and the real world™ (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    Language: English
    Pages: 1 online resource (1 video file (30 hr., 55 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7
    Keywords: Application software Development ; Python (Computer program language) ; SPARK (Computer program language) ; Artificial intelligence ; Artificial Intelligence ; Logiciels d'application ; Développement ; Python (Langage de programmation) ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to use data science and statistics to solve business problems and gain insights into everyday problems with 35+ case studies About This Video Explore 16 statistical and data analysis, and six predictive modeling and classifiers case studies Work on four: data science in marketing and retail, and two time-series forecasting case studies Dive into three Natural Language Processing and one PySpark big data case studies, and a deployment project In Detail Right now, despite the Covid-19 economic contraction, traditional businesses are hiring data scientists in droves! Therefore, data scientist has become the top job in the U.S. for the last four years running. However, data science has a difficult learning curve. This course seeks to fill all those gaps and has a comprehensive syllabus that tackles all the major components of data science knowledge. You will be using data science to solve common business problems throughout this course. You will start with the basics of Python, Pandas, Scikit-learn, NumPy, Keras, Prophet, statsmod, SciPy, and more. You will learn statistics and probability for data science in detail. Then, you will learn visualization theory for data science and analytics using Seaborn, Matplotlib, and Plotly. You will look at dashboard design using Google Data Studio along with machine learning and deep learning theory/tools. Then, you will be solving problems using predictive modeling, classification, and deep learning. After this, you will move your focus to data analysis and statistical case studies, data science in marketing, and data science in retail. Finally, you will see deployment to the cloud using Heroku to build a machine learning API. By the end of this course, you will learn all the major components of data science and gain the confidence to enter the world of data science. Audience This course is designed for beginners in data science; business analysts who wish to do more with their data; college graduates who lack real-world experience; business-oriented persons who would like to use data to enhance their business; software developers or engineers who would like to start learning data science. Anyone looking to become more employable as a data scientist and with an interest in using data to solve real-world problems will enjoy this course thoroughly. No need to be a programming or math whiz; basic high school math will be sufficient.
    Note: "Updated in March 2022.". - Online resource; title from title details screen (O'Reilly, viewed March 30, 2022)
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