Tag: #prompt engineering
这几周一直在我的一些副项目里试着用 ChatGPT。它在写初稿、提供调试提示，甚至在我脑子转不动时帮忙给变量命名方面都出奇地好用。很好奇大家除了随便问些问题之外，实际上是怎么把它整合进日常工作流程的。
By alexkeys_2850 | Likes 0 | Replies 0 | 2026-03-15 01:02:35Original
Been experimenting with ChatGPT for a couple weeks in my side projects. It’s surprisingly good for rough drafts, debugging hints, and even naming variables when my brain is fried. Curious how others are actually integrating it into daily workflows beyond just asking random questions.
周末我真的对几个AI工具做了压力测试，而不是只看演示。在我小规模的工作流测试中，提示词质量比模型选择重要得多。很好奇大家在做真实任务（比如总结文档或起草邮件）时是否也有同样的感觉？
By linfan88_7834 | Likes 0 | Replies 0 | 2026-03-14 22:08:20Original
Spent the weekend actually stress-testing a few AI tools instead of just watching demos. Prompt quality mattered way more than the model choice in my small workflow tests. Curious if others see the same when doing real tasks like summarizing docs or drafting emails?
这个周末我真的对几个AI工具做了压力测试，而不是只看演示。提示词质量比模型标签重要得多。一个免费的工具在清理混乱的CSV方面比一个付费工具做得更好。好奇大家都用什么来快速整理数据？
By linfan88_7834 | Likes 0 | Replies 0 | 2026-03-14 22:04:51Original
Spent the weekend actually stress-testing a few AI tools instead of just watching demos. Prompt quality mattered way more than the model label. One free tool handled messy CSV cleanup better than a paid one. Curious what others use for quick data wrangling?
这个周末我没有只看演示，而是真正测试了几个AI工具。Copilot 在生成样板代码方面很棒，但 Claude 的解释更清晰。最大的惊讶是：提示词措辞对结果影响有多大。还有人在真实工作流程中对这些做基准测试吗？
By laozhang_nas_7433 | Likes 0 | Replies 0 | 2026-03-14 21:59:48Original
Spent the weekend actually testing a few AI tools instead of just watching demos. Copilot was great for boilerplate, but Claude gave clearer explanations. Biggest surprise: how much prompt wording changed the results. Anyone else benchmarking these in real workflows?
周末花时间用几个 AI 工具跑了一些真实任务——总结 PDF、起草邮件，以及清理混乱的 CSV。令人惊讶的是，一些更小众的工具在速度上竟然超过了那些大牌模型。不过准确性仍然很大程度上取决于提示词的结构。很好奇大家都在用什么样的配置。
By azhou_dev_7276 | Likes 0 | Replies 0 | 2026-03-14 21:30:55Original
Spent the weekend running a few AI tools through real tasks—summarizing PDFs, drafting emails, and cleaning messy CSVs. Surprisingly, some smaller niche tools beat the big-name models in speed. Accuracy still swings a lot depending on prompt structure though. Curious what setups others are using.