diff --git a/README.md b/README.md
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+++ b/README.md
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-# AI Engineering: Building Applications with Foundation Models (Chip Huyen 2025)
+# AI Engineering book and other resources
 > _This repo will be updated with more resources in the next few weeks._
 
-- [About the book](#about-the-book)
-    - [What this book is about](#what-this-book-is-about)
-    - [Who this book is for](#who-this-book-is-for)
-- [Table of contents](ToC.md)
-- [Chapter summaries](chapter-summaries.md)
+- [About the book AI Engineering](#about-the-book)
+    - [Table of contents](ToC.md)
+    - [Chapter summaries](chapter-summaries.md)
+    - [Study notes](study-notes.md)
 - [AI engineering resources](resources.md)
 - [Prompt examples](prompt-examples.md)
 - [Case studies](case-studies.md)
diff --git a/study-notes.md b/study-notes.md
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+# Study notes 
+Notes from people reading AI Engineering. If you've made public notes about the book, feel free to create a PR to add them here. Thank you!
+
+- [Alex Strick van Linschoten](https://www.linkedin.com/in/strickvl/) made excellent chapter-by-chapter notes of the book. Here are some of them.
+    - [Chapter 6: RAG and Agents](https://mlops.systems/posts/2025-01-24-notes-on-ai-engineering-chip-huyen-chapter-6.html)
+    - [Chapter 7: Finetuning](https://mlops.systems/posts/2025-01-26-notes-on-ai-engineering-chip-huyen-chapter-7:-finetuning.html)
+    - [Chapter 9: Inference optimization](https://mlops.systems/posts/2025-02-07-ai-engineering-chapter-9.html)
+    - [Chapter 10: AI engineering architecture and user feedback](https://mlops.systems/posts/2025-02-09-ai-eg-chapter-10.html)
+- [Li Liu's bookclub](https://docs.google.com/document/d/1mKRI3cJVNTmNKgE85OUd3DOfnph7Z3QmqrZhBCX7yQ4/edit?tab=t.0#heading=h.ohq29zbftwgr): started Feb 8, 2025 with weekly meeting.
+- [AI from Scratch reading group](https://x.com/santiviquez/status/1886469829583835214): started Feb 16, 2025.
+- [Pastor Soto's notes on AI engineering](https://substack.com/home/post/p-154650527)
+
+
+I'm also collecting discussion topics from reading groups and courses on AI engineering. Feel free to make PRs to add yours. Thank you!
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