Zero-Shot Learning

Category: Technical Terms

Definition

Zero-shot learning is when AI performs tasks without seeing specific training examples for those tasks.

How It Works

The AI learns general knowledge from training data, then applies that knowledge to new situations. A language model trained on books can write emails without ever seeing email examples during training.

The AI uses patterns from similar tasks to handle new ones.

Why It Matters

Zero-shot learning makes AI much more useful. Instead of training separate models for each task, one model can handle many different jobs.

This is why ChatGPT can write code, analyze data, and create poetry - all without specific training for each task.


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