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N-shot learning

Imagine you are a consulting data scientist working on refining a pre-trained large language model for various tasks for several clients. In some cases, you have many labeled examples for each task, and in others, you have nothing.

You don't want to start building a model from scratch for the related tasks and decide to explore N-shot learning techniques. Applying this technique will enhance the model's ability to handle the various tasks and examples you have at hand.

This exercise is part of the course

Large Language Models (LLMs) Concepts

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