Lectures
The lectures are available for download here. We will upload them ahead of the corresponding classes whenever possible. Given the broad and comprehensive topics in this course, we greatly value the shared external resources. We acknowledge and respect the copyrights of publicly available materials, including those from Stanford CS146S Fall 2025, HuggingFace, and other public resources as referenced and noted in the slides. If any oversight has occurred, please do not hesitate to contact Guangjing.
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Overview of Agentic AI Systems
tl;dr: An overview of Agentic AI system principles and course syllabus.
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Attention and Transformer
tl;dr: A review of large language model basics including attention and transformer designs.
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Large Language Modeling
tl;dr: An introduction to language modeling and LLM inference process.
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Foundation Model and Fine-tuning
tl;dr: An introduction to instruction tuning and preference alignment.
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Context Engineering
tl;dr: An introduction to prompt design and context engineering.
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Agent Application Basics
tl;dr: An introduction to LLM agent application basics.
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