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Generative AI on AWS : Building Context-Aware Multimodal Reasoning Applications by Chris Fregly, Shelbee Eigenbrode and Antje Barth (2023, Trade Paperback)
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Generative AI on AWS Chris Fregly & Antje Barth & Shelbee Eigenbrode PaperbackThe product is a textbook titled "Generative AI on AWS" authored by Chris Fregly, Shelbee Eigenbrode, and Antje Barth. The book is in English, has 309 pages, and features illustrations to aid in understanding the concepts discussed.
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About this product
Product Identifiers
PublisherO'reilly Media, Incorporated
ISBN-101098159225
ISBN-139781098159221
eBay Product ID (ePID)5064796732
Product Key Features
Number of Pages309 Pages
LanguageEnglish
Publication NameGenerative Ai on Aws : Building Context-Aware Multimodal Reasoning Applications
SubjectNatural Language Processing, General, Computer Vision & Pattern Recognition
Publication Year2023
TypeTextbook
AuthorChris Fregly, Shelbee Eigenbrode, Antje Barth
Subject AreaMathematics, Computers
FormatTrade Paperback
Dimensions
Item Height0.7 in
Item Weight19 Oz
Item Length9.1 in
Item Width7.2 in
Additional Product Features
LCCN2024-443662
Dewey Edition23
IllustratedYes
Dewey Decimal006.3
SynopsisCompanies 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 CTOs, 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. Apply generative AI to your business use cases Determine which generative AI models are best suited to your task Perform prompt engineering and in-context learning Fine-tune generative AI models on your datasets with low-rank adaptation (LoRA) Align generative AI models to human values with reinforcement learning from human feedback (RLHF) Augment your model with retrieval-augmented generation (RAG) Explore libraries such as LangChain and ReAct to develop agents and actions Build generative AI applications with Amazon Bedrock
LC Classification NumberQA76.585.F7 2023
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