Prompt chaining, also referred to as a sequential pipeline by Google, is a method for breaking down complex tasks into a series of smaller, fixed steps. Each step in the chain processes the output from the previous one, which can improve accuracy at the cost of speed. This approach is particularly useful for structured, repeatable processes like data extraction or content generation, and the inclusion of programmatic 'gates' between steps helps to catch errors early and reduce wasted computational resources. AI
IMPACT This technique offers a structured approach to improve LLM accuracy for complex tasks by breaking them into manageable, sequential steps.
RANK_REASON The item describes a technique for using LLMs, not a new model release or research breakthrough.
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