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Generative AI in action / Amit Bahree ; foreword by Eric Boyd.

By: Contributor(s): Material type: TextDescription: xxiv, 438 pages : illustrations ; 24 cmISBN:
  • 9781633436947
Other title:
  • Generative Artificial Intelligence in action
Subject(s): DDC classification:
  • 006.35 23 B1516g
Contents:
Introduction to generative AI -- Introduction to large language models -- Working through an API : generating text -- From pixels to pictures : generating images -- What else can AI generate? -- Guide to prompt engineering -- Retrieval-augmented generation : the secret weapon -- Chatting with your data -- Tailoring models with model adaptation and fine-tuning -- Application architecture for generative AI apps -- Scaling up : best practices for production deployment -- Evaluations and benchmarks -- Guide to ethical GenAI : principles, practices, and pitfalls.
Summary: Generative AI in Action presents concrete examples, insights, and techniques for using LLMs and other modern AI technologies successfully.
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Holdings
Item type Current library Call number Vol info Copy number Status Barcode
Books Library, Independent University, Bangladesh (IUB) Reference Stacks 006.35 B1516g (Browse shelf(Opens below)) 2024 01 Not For Loan 029860
Books Library, Independent University, Bangladesh (IUB) General Stacks 006.35 B1516g (Browse shelf(Opens below)) 2024 02 Available 029861
Total holds: 0

Includes bibliographical references (pages 429-432) and index.

Introduction to generative AI -- Introduction to large language models -- Working through an API : generating text -- From pixels to pictures : generating images -- What else can AI generate? -- Guide to prompt engineering -- Retrieval-augmented generation : the secret weapon -- Chatting with your data -- Tailoring models with model adaptation and fine-tuning -- Application architecture for generative AI apps -- Scaling up : best practices for production deployment -- Evaluations and benchmarks -- Guide to ethical GenAI : principles, practices, and pitfalls.

Generative AI in Action presents concrete examples, insights, and techniques for using LLMs and other modern AI technologies successfully.

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