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Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 15: Mid/Post-Training
Implementing RL Algorithms for LLMs | Post-Training Course, Lecture 4
LLM Post-Training: A Deep Dive into Reasoning Large Language Models
Direct Preference Optimization (DPO) - How to fine-tune LLMs directly without reinforcement learning
How language model post-training is done today
Lecture 04 • Post-Training Language Models
Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 10 - Post-training by Archit Sharma
Fine-tuning LLMs with PEFT and LoRA
Iterative Reasoning Preference Optimization
Stanford CS234 I Guest Lecture on DPO: Rafael Rafailov, Archit Sharma, Eric Mitchell I Lecture 9
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Last Updated: August 16, 2026
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