AI Engineering: Building Applications with Foundation Models Edition:1
Artificial Intelligence
Book Details
Book Title
AI Engineering:Building Applications with Foundation Models Edition : 1
Author
Chip Huyen
Publisher
O'Reilly Media
Publication Date
2024
ISBN
9781098166304
Number of Pages
535
Language
English
Format
File Size
11.6MB
Subject
Artificial Intelligence-Machine Learning-Model Evaluation-Agent-based AI-Foundation Models
Table of Contents
- Cover
- Copyright
- Table of Contents
- Preface
- Chapter 1. Introduction to Building AI Applications with Foundation Models
- The Rise of AI Engineering
- Foundation Model Use Cases
- Planning AI Applications
- The AI Engineering Stack
- Summary
- Chapter 2. Understanding Foundation Models
- Training Data
- Modeling
- Post-Training
- Sampling
- Summary
- Chapter 3. Evaluation Methodology
- Challenges of Evaluating Foundation Models
- Understanding Language Modeling Metrics
- Exact Evaluation
- AI as a Judge
- Ranking Models with Comparative Evaluation
- Summary
- Chapter 4. Evaluate AI Systems
- Evaluation Criteria
- Model Selection
- Design Your Evaluation Pipeline
- Summary
- Chapter 5. Prompt Engineering
- Introduction to Prompting
- Prompt Engineering Best Practices
- Defensive Prompt Engineering
- Summary
- Chapter 6. RAG and Agents
- RAG
- Agents
- Memory
- Summary
- Chapter 7. Finetuning
- Finetuning Overview
- When to Finetune
- Memory Bottlenecks
- Finetuning Techniques
- Summary
- Chapter 8. Dataset Engineering
- Data Curation
- Data Augmentation and Synthesis
- Data Processing
- Summary
- Chapter 9. Inference Optimization
- Understanding Inference Optimization
- Inference Optimization
- Summary
- Chapter 10. AI Engineering Architecture and User Feedback
- AI Engineering Architecture
- User Feedback
- Summary
- Epilogue
- Index
- About the Author
- Colophon