Prompt chaining is a technique used in natural language processing where multiple prompts are linked together to generate more complex outputs. This method allows for the sequential refinement of responses, where the output of one prompt serves as the input for the next. By chaining prompts, users can guide the model through a series of steps, enhancing the quality and specificity of the final result. Common use cases include interactive storytelling, multi-turn dialogues, and iterative content generation, where each step builds upon the previous one to create a coherent narrative or response.
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