Stanford CS336 Language Modeling from Scratch | Spring 2025 | Overview and Tokenization
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Stanford Online
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Why it matters
Building a model end to end is the fastest way to understand tokenization, data and systems tradeoffs that shape how LLMs behave in AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → work.
Terms in this piece · Glossary
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
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