AI engineering : building applications with foundation models

AI engineering Building applications with foundation models

Chip Huyen

Book - 2024

"This book provides a framework for adapting foundation models, which include both large language models (LLMs) and large multimodel models (LMMs), to specific applications" -- page xii.

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Subjects
Generative programming (Computer science)
Natural language generation (Computer science)
Artificial intelligence > Engineering applications.
Software engineering.
Artificial intelligence > Technological innovations.
Application software > Development.
Machine learning.
Programmation générative.
Génération automatique de texte.
Intelligence artificielle > Applications en ingénierie.
Génie logiciel.
Intelligence artificielle > Innovations.
Logiciels d'application > Développement.
Apprentissage automatique.
Published
Sebastopol, CA : O'Reilly Media 2024.
©2025
Language
English
Main Author
Chip Huyen (author)
Edition
First edition
Physical Description
xxi, 509 pages : color illustrations ; 24 cm
Bibliography
Includes bibliographical references and index.
ISBN
9781098166304
  • Introduction to building AI applications with foundation models
  • Understanding foundation models
  • Evaluation methodology
  • Evaluate AI systems
  • Prompt engineering
  • RAG and agents
  • Finetuning
  • Dataset engineering
  • Inference optimization
  • AI engineering architecture and user feedback.

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