In-Context Learning
In-Context Learning (ICL) is the emergent ability of pre-trained Large Language Models to learn new tasks from examples provided in the prompt context without gradient updates.
Frequently Asked Questions
Does In-Context Learning update model weights?▼
No, model parameters remain unchanged.
What prompt style relies on In-Context Learning?▼
Few-shot prompting.
Quick Facts
- CategoryPrompt Engineering
- Key ApplicationFast prompt prototyping, customized format output generation.
Coverage Trend12 Weeks
Related AI Terms
In-Context Learning Media Coverage & Intelligence
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