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// 1h agoTUTORIAL
Stanford CME 295 maps modern LLM fundamentals
Stanford’s CME 295 offers nine public lectures covering Transformers, LLM training and tuning, reasoning, agents, RAG, and evaluation across roughly 16 hours. Its official syllabus provides a coherent path from tokenization and embeddings to current LLM systems.
// ANALYSIS
Most LLM tutorials optimize for quick prompting fluency; CME 295 builds the underlying mental model developers need to understand why modern systems work.
- –Progresses from tokenization, embeddings, attention, and Transformer architecture into MHA, GQA, RoPE, BERT, and MoE.
- –Covers practical training topics including quantization, hardware optimization, SFT, LoRA, RLHF, PPO, and DPO.
- –Connects model internals to developer workflows through reasoning, RAG, function calling, ReAct agents, and evaluation.
- –The calculus, linear algebra, and basic machine-learning prerequisites make it better suited to serious learners than absolute beginners.
// TAGS
cme-295llmtrainingreasoningragagentevaluation
DISCOVERED
1h ago
2026-08-30
PUBLISHED
3h ago
2026-08-30
RELEVANCE
8/ 10
AUTHOR
techNmak