AWS de hajimeru seisei AI RAG apurikēshon kaihatsu kara, kiban moderu no bichōsei, maruchimōdaru AI katsuyō made o tameshite manabu

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 pra...

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Detalles Bibliográficos
Otros Autores: Fregly, Chris, author (author), Barth, Antje, author (translator), Eigenbrode, Shelbee, author (-), Kubuki, Ryūichi, translator, Motohashi, Kazuki, Kubo, Takahiro
Formato: Libro electrónico
Idioma:Japonés
Publicado: Tōkyō-to Shinjuku-ku : Orairī Japan 2024.
Edición:Shohan
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009851338806719
Descripción
Sumario: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.
Descripción Física:1 online resource (352 pages) : illustrations
ISBN:9784814400720