Few-Shot Learning

Category: Technical Terms

Definition

Few-shot learning is when AI learns new tasks from just a few examples.

How It Works

Show the AI 2-3 examples of what you want, then ask it to do similar tasks. A language model might see two email-to-summary examples, then summarize new emails.

The AI uses patterns from its training to understand new tasks quickly.

Why It Matters

Few-shot learning makes AI practical for custom tasks. You don't need thousands of examples - just show a few good ones and the AI figures out the pattern.

This is how ChatGPT handles tasks it wasn't specifically trained for.


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