Few-shot prompting is a technique used in natural language processing (NLP), particularly with large language models (LLMs) like GPT, to guide the model's behavior by providing it with a few examples of the task you want it to perform. These examples are included directly in the input (the "prompt") to show the model how to complete a similar task.
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