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Stanford CS25: Transformers United V6 I From Language Models to Native Multimodal Intelligence

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youtube.com
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Stanford Online
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Why it matters

Explains how models move from next- prediction over text to natively training, useful for engineers choosing and building on multimodal systems.

Terms in this piece · Glossary
  • multimodal — A model that works with more than text — reading images, audio, or video, and sometimes generating them too.
  • LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
  • token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
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