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  • 1
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: The development and release of ChatGPT and other state-of-the-art large language models (LLMs) has renewed interest in the concept of AI agents, a term that evokes a range of assumptions about their potential as applications to independently automate many tasks along with the risks they present if not constrained. In simple terms, an AI agent is an AI entity that is given a description of a task, autonomously retrieves the tools it needs to execute the task, and then executes it. In this event, our third in an ongoing series of special events on ChatGPT, LLMs, and generative AI, we©³℗Ø©²?©²?ll discuss the different types of AI agents and how the latest large AI models are making these AI agents more powerful than ever. Integrating these AI agents into your products and services presents some challenges that aren©³℗Ø©²?©²?t usually of concern for web-based ML models. These include how to design a good interface that can take user inputs, show the inferences and communicate the progress, logging costs through each step and monitoring the performance while understanding user preferences, editing plans, etc. Our experts will present some of the tools you need to create your own AI agents and show you how they can help your organization achieve higher levels of efficiency and productivity by making AI your assistant. What you©³℗Ø©²?©²?ll learn and how you can apply it: Explore the different types of AI agents and when and how to use them Understand which agents to use based on your particular use case©³℗Ø©²?©²?for example, reasoning-based agents versus sufficiency agents versus delegation agents Understand the limitations of AI agents and how to contain the scope of their work Learn about the latest tools that have been developed to help you build your own AI agent This live course is for you because: You©³℗Ø©²?©²?re curious about AI agents and how they can help your organization. You©³℗Ø©²?©²?re interested in knowing how others are using AI agents and the tools that are being developed to enable developers to create and use them. You©³℗Ø©²?©²?re interested in exploring whether to build your own agents or use proprietary services like Cognosys. Recommended follow-up: Read Designing Autonomous AI (book) Read Generative Deep Learning, second edition (book) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 05, 2023)
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  • 2
    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)
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