Verified65% confidenceFactExact time
Prompt engineering refers to the technical practice of stably and predictably controlling the quality and format of model outputs by carefully designing the text instructions fed to a large model.
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9/16/2026
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UnverifiedPrompt engineering guides model output by carefully constructing input text, with all its control signals concentrated in the natural language channel, making it difficult to precisely express structured intent, and each interaction requires re-describing, with high debugging cost and unstable results.73% similarUnverifiedPrompt engineering refers to the techniques and methodologies for guiding large language models to produce more accurate outputs through carefully designed input prompts, encompassing technical paradigms such as zero-shot prompting, few-shot prompting, chain-of-thought, and self-consistency.72% similarUnverifiedThe context and constraints provided by the user directly determine the direction and quality of the large language model's generation, which is why prompt engineering is important.70% similarUnverifiedThe paper uses manually written style examples to prompt a language model to convert original exhaustive commands into intent-centered weak instructions, batch-generating paired training data.70% similar
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