Expired90% confidenceFactExact time
Prompt Engineering refers to the practice of carefully designing input prompts for large language models with the goal of guiding the model to generate high-quality, expected outputs.
27
Sources
90%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Vue3 + SpringBoot in Practice: A Full-Stack AI Travel Recommendation Assistant Explained
bilibiliJason老师AI全栈分享6/9/2026
Related Claims
VerifiedPrompt engineering is the technique of improving the quality and efficiency of model outputs by optimizing input prompts without changing the model weights.77% similarUnverifiedPrompt engineering is evolving from general techniques toward model-specific optimization71% similarUnverified豆包大模型是字节跳动自研的通用大语言模型，基于Transformer架构训练，在中文理解和生成任务上针对国内用户场景进行了专项优化68% similarUnverifiedPrompt engineering techniques (chain-of-thought, few-shot examples, role assignment, structured output, etc.) are in essence methods of narrowing the model's output distribution through additional linguistic constraints, guiding it toward a probability range closer to the user's intent.68% similar
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