Principles-of-AI-LLMs
dobriban
Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-training, alignment), test-time computation, reasoning, safety and robustness (jailbreaking, oversight, uncertainty), representations, interpretability (circuits), etc.
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4 data points · 2026-04-10 → 2026-07-25How do you feel about this project?
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