Description: Title: Generative AI on Aws: Building Context-Aware Multimodal Reasoning Applications Author: Fregly, Chris Publisher: O'Reilly Media Binding: Paperback Pages: 309 Dimensions: 9.19h x 7.00w x 0.65d Product Weight: 1.1 lbs. Language: English ISBN: 9781098159221 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 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 Ships Fast From The USA! Authorized Dealer
Price: 84.99 USD
Location: La Vergne, Tennessee
End Time: 2024-11-22T23:14:52.000Z
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Book Title: O'Reilly Media
Number of Pages: 309 Pages
Language: English
Publication Name: Generative Ai on Aws : Building Context-Aware Multimodal Reasoning Applications
Publisher: O'reilly Media, Incorporated
Subject: General
Publication Year: 2023
Item Height: 0.7 in
Type: Textbook
Item Weight: 19 Oz
Author: Chris Fregly, Shelbee Eigenbrode, Antje Barth
Item Length: 9.1 in
Subject Area: Mathematics
Item Width: 7.2 in
Format: Trade Paperback