Large Language Models · Level 2 of 5
In-Context Learning
Adapting behavior from examples or instructions inside the current context without parameter updates.
The apparent learning is carried in the prompt, not stored as new weights.
Listen to the definition and example
Audio transcript
In-Context Learning. Adapting behavior from examples or instructions inside the current context without parameter updates. The apparent learning is carried in the prompt, not stored as new weights. For example: A prompt provides three labeled examples before asking for a fourth label.
Explore this concept
Why it matters
This helps you interpret model behavior and control how text is processed or generated.
Start with
Related concepts
Quick recall question
Try answering before looking back at the definition.