An indie maker named Leony has developed a four-block prompt template designed to maximize the efficiency of Large Language Models (LLMs) like Kimi, aiming to achieve desired results in minimal conversational turns. The template consists of an Objective, Verified Context, Constraints, and Output Schema, followed by a crucial instruction to list assumptions and edge cases before answering. This structured approach helps prevent common LLM interaction pitfalls, such as vague requests and multiple rounds of clarification, by front-loading decision-making. AI
IMPACT Provides a practical framework for users to improve their interactions with LLMs, potentially increasing productivity and reducing costs.
RANK_REASON The item describes a method or technique for using existing LLMs more effectively, rather than a new model release or research breakthrough.
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