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- [Who this book is for](#who-this-book-is-for)
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- [Table of contents](ToC.md)
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- [Chapter summaries](chapter-summaries.md)
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- [AI egnineering resources](resources.md)
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- [AI engineering resources](resources.md)
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- [Prompt examples](prompt-examples.md)
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- [Case studies](case-studies.md)
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- [Misalignment AI](misalignment.md)
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@ -4,7 +4,7 @@ These are the summaries of each chapter taken from the book. Some of the summari
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* [Chapter 1. Introduction to Building AI Applications with Foundation Models](#chapter-1-introduction-to-building-ai-applications-with-foundation-models)
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* [Chapter 2. Understanding Foundation Models](#chapter-2-understanding-foundation-models)
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* [Chapter 3. Chapter 3. Evaluation Methodology](#chapter-3-evaluation-methodology)
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* [Chapter 3. Evaluation Methodology](#chapter-3-evaluation-methodology)
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* [Chapter 4. Evaluate AI Systems](#chapter-4-evaluate-ai-systems)
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* [Chapter 5. Prompt Engineering](#chapter-5-prompt-engineering)
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* [Chapter 6. RAG and Agents](#chapter-6-rag-and-agents)
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@ -252,7 +252,7 @@ I also wrote a post on [sampling for text generation](https://huyenchip.com/2024
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9. [Voyager: An Open-Ended Embodied Agent with Large Language Models](https://arxiv.org/abs/2305.16291) (Wang et al., 2023)
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10. [Book] [Artificial Intelligence: A Modern Approach](https://www.amazon.com/Artificial-Intelligence-A-Modern-Approach/dp/0134610997) (Russell and Norvig, 4th edition is in 2020)
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Planning is closely related to search, and this classic book has a several in-dpeth chapters on search.
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Planning is closely related to search, and this classic book has a several in-depth chapters on search.
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## Chapter 7. Finetuning
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8. [Blog | Anyscale](https://www.anyscale.com/blog)
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9. [Data Science and ML | Databricks Blog](https://www.databricks.com/blog/category/engineering/data-science-machine-learning)
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10. [Together Blog](https://www.together.ai/blog)
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11. [Duolingo Engineering](https://blog.duolingo.com/hub/engineering/)
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11. [Duolingo Engineering](https://blog.duolingo.com/hub/engineering/)
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