Glossary · Term

in-context learning

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Definition

Plain language

A model picking up new patterns just from examples in its prompt, without any retraining.

As stated in the literature

The phenomenon where a language model adapts behavior based on examples or instructions provided in its prompt context without weight updates.

Why it matters: It's why prompt engineering works at all — users can teach a model new behavior at runtime without any access to its weights.

For example, showing a model three examples of English-to-pig-Latin translation in the prompt and then giving it a new English word, and watching it produce the right pig-Latin output.

Heard on the show

“The hand-note is in-context learning.”
Episode 160 — Training an AI to Take Its Own Notes, So Its Future Self Works Better

Mentioned in 3 episodes

  1. 160
    Training an AI to Take Its Own Notes, So Its Future Self Works Better
  2. 091
    When Better Fine-Tuning Can't Help: A Geometric Impossibility in LLM Causal Reasoning
  3. 013
    Why Search Keeps Rediscovering the Same Workflow, and What That Means

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