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" Generative AI on AWS "
/ Chris Fregly, Antje Barth and Shelbee Eigenbrode.
2025/04/08
Material Type*
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Latin Book
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Language of Document
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English
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Record Number
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1629763
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Doc. No
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E4761
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Main Entry
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Fregly, Chris,
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Title & Author
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Generative AI on AWS: building context-aware multimodal reasoning applications [electronic resources: book]/ Chris Fregly, Antje Barth and Shelbee Eigenbrode.
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Publication Statement
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Sebastopol, CA: O'Reilly Media, 2023.
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Page. NO
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1 online rsource.
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Notes
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Includes index.
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Contents
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Generative AI use cases, fundamentals, and project life cycle -- Prompt engineering and in-context learning -- Large-language foundation models -- Memory and compute optimizations -- Fine-tuning and evaluation -- Parameter-efficient fine-tuning -- Fine-tuning with reinforcement learning from human feedback -- Model deployment optimizations -- Context-aware reasoning applications using RAG and agents -- Multimodal foundation models -- Controlled generation and fine-tuning with stable diffusion -- Amazon bedrock: managed service for generative AI.
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Abstract
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Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTSs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology. You'll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images.
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ISBN
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9781098159221 (ISBN)
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Subject
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Artificial intelligenceComputer programs.
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Subject
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Application software.
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Subject
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Artificial intelligence.
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Subject
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Software engineering.
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Subject
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artificial intelligence.
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Subject
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Artificial intelligence
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Subject
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Software engineering
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Added Entry
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Barth, Antje,
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Eigenbrode, Shelbee,
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Dewey Classification
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LC Classification
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center
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University of Tehran. Library of College of Science
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electronic file name
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UT_SCI_BL_DB_1005061_0001.pdf
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Corporate Body Name Used as Subject
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Amazon Web Services (Firm)
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Amazon Web Services (Firm)
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Internal Bibliographies/Indexes Note
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Includes index.
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