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Skill

Prompt Chaining

Data Science, Analytics and AI/ML

Prompt chaining is a technique in working with large language models where a complex task is broken into a sequence of smaller prompts, with the output of one prompt feeding into the input of the next. AI developers and prompt engineers use this approach to improve accuracy and control over multi-step reasoning tasks, such as summarizing then analyzing a document, rather than relying on a single, monolithic prompt. It is a foundational pattern in building AI agents and complex LLM-powered workflows.

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