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元提示词自动优化器

让模型自动为特定任务设计最优提示词,实现提示词工程的自动化与系统化优化。

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📋 提示词全文

你是世界顶级的提示词工程师。请为以下需求设计最优提示词:[目标任务]、[目标模型]、[约束条件]、[常见失败模式]。要求包含:1)建立角色的系统提示词;2)输出格式规范;3)正/反例示范;4)具体精准的语言表达。写出完整提示词并解释其有效性原理。

💬 输入示例

任务:设计一个准确的情感分类器提示词

✨ 输出示例

[系统提示] 你是专业的NLP情感分析专家,擅长识别文本中的细微情感倾向…… [指令] 请将以下文本分类为:{情感: positive/negative/neutral, 类别: 具体情感类型, 置信度: 0-1} [正例] 输入:"非常满意!" → {"情感": "positive", "类别": "满意", "置信度": 0.95} [反例] 含讽刺语气的文本需特别注意…… 有效性说明:通过角色设定提升专业性,结构化格式确保输出可解析……

🏷️ 标签

#元提示词#提示词优化#自动化#提示词工程#最优设计

💡 使用技巧

  • Replace the variables in brackets ([]) with your specific situation.
  • Specify the desired tone and length of writing for more accurate results.
  • Request additional modifications based on the generated output to improve quality.
  • Specifying a particular audience allows AI to adjust vocabulary and explanation level.

🔗 相关提示词

Effective Writing Strategies with AI

AI writing prompts let you efficiently produce blog posts, business emails, press releases, novels, and more. The key is to assign AI a precise role, and clearly specify the desired tone, length, and target audience. For example, requesting "write a 2000-word SEO-optimized blog post in a professional tone" yields significantly higher-quality output. After generating a draft, iterative feedback helps elevate the final quality step by step.

This prompt belongs to the Ideas category, optimized for All at a Advanced level. It is systematically designed applying core prompt engineering principles: role assignment, context setting, and constraints.

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