Technical
Few-Shot Learning
Definition
The ability of AI models to learn new tasks from just a few examples provided in the prompt.In-Depth Explanation
Few-shot learning leverages the general knowledge in pre-trained models to quickly adapt to new tasks. By including examples in the prompt, you can guide the model behavior without retraining. This is a key capability of large language models and enables rapid customization.
Real-World Example
Providing 3 examples of customer support responses helps an LLM generate similar responses for new queries.
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