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Generative AI on AWS: Building Context-Aware Multimodal Reasoning Applications

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Marque : GENERIC
Vendu par HEAVENBOOKS.MA

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, da...

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Description produit

Marque
GENERIC
Titre principal
Generative AI on AWS: Building Context-Aware Multimodal Reasoning Applications
Editeur
O'Reilly Media
Type de produit
paperback
Présentation du livre
paperback
Release date
12/19/2023 12:00:00 AM
Langue d'origine
English
ISBN
1098159225
Dimensions
7 x 0.65 x 9.25 inches
Nombre de pages de livre
309 pages
Langue - Librairie
English
Résumé
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 casesDetermine which generative AI models are best suited to your task Perform prompt engineering and in-context learningFine-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 actionsBuild generative AI applications with Amazon Bedrock Read more
Auteur(s)
Chris Fregly, Antje Barth, Shelbee Eigenbrode
Date de parution
12/19/2023 12:00:00 AM