Topic

Stanford CME295 Syllabus

All digests tagged Stanford CME295 Syllabus

Suggested route

Topic journey

Move from earlier context through the available material to the newest signals. This route is a reading aid, not a difficulty ranking.

Start here

Stanford CME295 Transformers & LLMs | Autumn 2026 | Lecture 1 - Transformers Sep 28, 2026 · 1:44:28 The Transformer architecture revolutionized NLP by replacing recurrent connections with self-attention. This mechanism allows tokens to compute context-aware representations by weighing the relevance of all other tokens in the sequence.

Recent signals

Stanford CME295 Transformers & LLMs | Autumn 2026 | Lecture 4 - Reinforcement Learning with LLMs Oct 19, 2026 · 1:43:27 The lecture details advanced RL methods for LLMs, covering PPO, GRPO, and On-Policy Distillation (OPD). These techniques maximize expected rewards by optimizing policies against human preferences or verifiable outcomes, while managing gradient variance and policy deviation.

Stanford Online

Stanford CME295 Transformers & LLMs | Autumn 2026 | Lecture 4 - Reinforcement Learning with LLMs

The lecture details advanced RL methods for LLMs, covering PPO, GRPO, and On-Policy Distillation (OPD). These techniques maximize expected rewards by optimizing policies against human preferences or verifiable outcomes, while managing gradient variance and policy deviation.

Read article

Stanford Online

Stanford CME295 Transformers & LLMs | Autumn 2026 | Lecture 1 - Transformers

The Transformer architecture revolutionized NLP by replacing recurrent connections with self-attention. This mechanism allows tokens to compute context-aware representations by weighing the relevance of all other tokens in the sequence.

Read article