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  • 1
    Online Resource
    Online Resource
    Prompt engineering deep dive : from prototyping to designing prompt engineering experiments (2024)
    [Sebastopol, California] : O'Reilly Media, Inc.
    Details
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 16 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Electronic data processing Data preparation ; Intelligence artificielle ; Préparation des données (Informatique) ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: This course delves into the emerging field of prompt engineering, focusing on how to effectively interact with AI models to achieve precise outcomes. As AI becomes increasingly integrated into various professional fields, understanding how to communicate with these systems is crucial. This course addresses common challenges faced by AI and data professionals, software developers, and business analysts in extracting accurate and relevant responses from AI models. By teaching skills like crafting effective prompts, applying advanced techniques like Chain of Thought Prompting, and teaching the foundations for creating complex prompt engineering experiments, participants will enhance their ability to leverage AI in their respective roles, leading to more efficient problem-solving and decision-making processes.
    Note: Online resource; title from title details screen (O’Reilly, viewed August 5, 2024)
    URL: lizenzpflichtig
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  • 2
    Online Resource
    Online Resource
    AI Superstream : Large language models (2023)
    [Place of publication not identified] : O'Reilly Media, Inc.
    Details
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 41 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Natural language processing (Computer science) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Large language models have taken the field of natural language processing and other domains of AI application by storm. The introduction of the transformer architecture by Google Brain in 2017 allowed these models to expand beyond individual word processing to the broader contexts of sentences or paragraphs, and the results have been groundbreaking, even renewing debates about the sentience of AI. But while the applications for these models are endless--from personal assistants and coding assistants to translation and copywriting--the power of LLMs comes with many questions and challenges. The size of LLMs can raise questions of latency and costs when put into production, and debates around the potential harmful effects of LLMs that produce hate speech and misinformation have only just begun. Join experts and practitioners in the field who are tackling these challenges head-on. ML and NLP researchers, data scientists, ML engineers, and AI leaders interested in these powerful models will explore everything from researching the potential of new LLMs to creating state-of-the art applications and more. What you'll learn and how you can apply it Get expert perspectives on the latest tools and techniques for building large language model applications Learn about the latest open source projects making powerful LLM applications achievable for more organizations This Superstream is for you because... You're a current or future AI product owner or AI/machine learning practitioner. You want to learn about the state of the art in artificial intelligence and how large language models can be leveraged to build new applications and solve your organizational challenges. 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 Decenber 19, 2023)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
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