Prompting, in the context of AI and especially large language models (LLMs), refers to the process of providing input text (the "prompt") to guide the model's behavior and generate a desired output. The design and content of the prompt significantly influence the quality and relevance of the model's response. Effective prompting techniques are crucial for eliciting specific information, creative text formats, translations, code generation, and more from LLMs. This includes using techniques like few-shot learning, chain-of-thought prompting, and prompt engineering.
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