In-context learning is the ability of some language models to adapt behavior from examples or instructions present in the current context window.
AI Glossary
In-Context Learning
Coverage in development
In-context learning is the ability of some language models to adapt behavior from examples or instructions present in the current context window.
Definition
Plain English explanation
The model temporarily “learns” from what you put in the prompt without updating its saved weights.
Related glossary terms
Last reviewed
Sources
- NIST AI Risk Management Framework — risk vocabulary context for AI systems
- Brel Digital company and technology profiles — applied usage evidence where tagged
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