GENERATIVE AI ON AWS: building context-aware multimodal reasoning applications
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 pract...
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| Main Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
[Sebastopol, California]
O'Reilly Media, Inc.
2023
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| Edition: | First edtion. |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781098159214/?ar |
| Summary: | 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. |
| Physical Description: | 1 Online-Ressource |
| ISBN: | 9781098159191 1098159195 |
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| spelling | Fregly, Chris VerfasserIn aut GENERATIVE AI ON AWS building context-aware multimodal reasoning applications Chris Fregly, Antje Barth & Shelbee Eigenbrode First edtion. [Sebastopol, California] O'Reilly Media, Inc. 2023 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Amazon Web Services (Firm) Artificial intelligence Computer programs Application software Artificial intelligence Intelligence artificielle ; Logiciels Logiciels d'application Intelligence artificielle artificial intelligence Barth, Antje VerfasserIn aut Eigenbrode, Shelbee VerfasserIn aut 1098159225 Erscheint auch als Druck-Ausgabe 1098159225 |
| spellingShingle | Fregly, Chris Barth, Antje Eigenbrode, Shelbee GENERATIVE AI ON AWS building context-aware multimodal reasoning applications Amazon Web Services (Firm) Artificial intelligence Computer programs Application software Artificial intelligence Intelligence artificielle ; Logiciels Logiciels d'application Intelligence artificielle artificial intelligence |
| title | GENERATIVE AI ON AWS building context-aware multimodal reasoning applications |
| title_auth | GENERATIVE AI ON AWS building context-aware multimodal reasoning applications |
| title_exact_search | GENERATIVE AI ON AWS building context-aware multimodal reasoning applications |
| title_full | GENERATIVE AI ON AWS building context-aware multimodal reasoning applications Chris Fregly, Antje Barth & Shelbee Eigenbrode |
| title_fullStr | GENERATIVE AI ON AWS building context-aware multimodal reasoning applications Chris Fregly, Antje Barth & Shelbee Eigenbrode |
| title_full_unstemmed | GENERATIVE AI ON AWS building context-aware multimodal reasoning applications Chris Fregly, Antje Barth & Shelbee Eigenbrode |
| title_short | GENERATIVE AI ON AWS |
| title_sort | generative ai on aws building context aware multimodal reasoning applications |
| title_sub | building context-aware multimodal reasoning applications |
| topic | Amazon Web Services (Firm) Artificial intelligence Computer programs Application software Artificial intelligence Intelligence artificielle ; Logiciels Logiciels d'application Intelligence artificielle artificial intelligence |
| topic_facet | Amazon Web Services (Firm) Artificial intelligence Computer programs Application software Artificial intelligence Intelligence artificielle ; Logiciels Logiciels d'application Intelligence artificielle artificial intelligence |
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