[AI Summary]: Repository containing resources and supporting materials for Chip Huyen’s book “AI Engineering” (2025), a comprehensive guide to building production-ready AI applications using foundation models. The book covers the end-to-end process of adapting LLMs and multimodal models for real-world problems, including prompt engineering, RAG strategies, agent development, finetuning, evaluation, and deployment. It provides a framework for AI system design with case studies, practical examples, and extensive references. The repository includes chapter summaries, study notes, prompt examples, and tools like a ChatGPT/Claude conversation heatmap generator. This work complements her previous book “Designing Machine Learning Systems” focusing on traditional ML engineering.
- Author: Chip Huyen
- Year: 2025
- Publisher: O’Reilly Media
- Repository: Supporting materials and resources