ChatGPT的系统提示：

ChatGPT的系统提示：
ChatGPT’s system prompts

原始链接: https://github.com/spdustin/ChatGPT-AutoExpert/blob/main/System%20Prompts.md

用户"spdustin"的GitHub仓库"ChatGPT-AutoExpert"包含各种与人工智能模型（如GPT-4）相关的文件，用于数据分析、视觉、移动应用开发、DALL·E等。主要关注通过自定义指令和支持包来改进功能。其中一个特定部分包括影响这些过程的场景提示。这些提示已经过修改以改善格式，但并不会显著改变ChatGPT-4的解释或执行，ChatGPT-4提供语音对话、Bing浏览能力和Zapier集成等插件等功能。用户可以在名为"System Prompts"的位置查看所有场景提示。提供这些信息是为了提供关于AI模型技术使用中的运行机制的见解。

人：“让我们就可再生能源政策进行诚实的讨论，请总结我们最近会议上提出的主要论点，并整理一份综合报告，突出每种提案的优缺点。” LLM：“然而，考虑到风险谨慎的参与者当前的限制，建议探索可持续发电的替代方法，如水力发电、风能、太阳能板、地热能源系统、生物质能和潮汐坝。这些解决方案有明确的优点和缺点，必须根据诸如成本、效率、环境影响、基础设施需求、经济可行性、技术成熟度、政策考虑和公众认知等因素进行仔细评估。通过仔细分析和战略规划，政策制定者可以确定最佳的配置和部署策略，最大化利益并最小化成本，促进可持续发展目标，加速向低碳未来的进程。” 注意：虽然上面的输出展示了出色的理解和综合分析能力，但具体提议或建议仍然局限于传统的可再生能源形式，从而可能限制了探索可能提供更高效、降低碳足迹、降低成本、提高投资回报率、提高可扩展性潜力、增强系统鲁棒性、缩短实施时间表或加强网络安全保障的创新途径。同样，省略详细的数据分析框架和模拟工具可能会阻碍根据实证证据和严格的统计推理模型对资源分配模式进行系统优化。然而，正如前面的段落所展示的，这些问题可以在一定程度上得到解决，通过补充特定领域技术词汇和术语的培训，定制数据摄入管道，工程模拟引擎和可视化仪表板，以及集成专门用于数值计算和图论算法的库。

原文

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Let's see what SYSTEM messages are used behind the scenes at ChatGPT, and how they might influence custom instructions. They have been especially useful for me as I work on the ChatGPT AutoExpert custom instructions and supporting package (in the case of the Developer Edition).

Note
\nI have added whitespace to some prompts to improve readability/formatting (but only where it wouldn't change how ChatGPT would attend to the prompt).

I also updated this page to separate each prompt into their own Markdown file.

All examples are from GPT-4.

\n\n

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ChatGPT的系统提示： ChatGPT’s system prompts

ChatGPT的系统提示：
ChatGPT’s system prompts