Prompt Refinement Chain 2.0
对上一条Prompt 升级,加上此条 prompt 可以自动输出修改后的prompt。
备注:调试模型:Gemini 2.5
用法:
完整的prompt分两步:Prompt Evaluation Chain 2.0 +Prompt Refinement Chain 2.0,也就是:
1. 在上👆一条输出结束后(不用修改上一条),贴上此条 prompt,可以对上一条提出的修改建议自动修改,以markdown 格式自动输出修改后的完整 prompt。#Prompt
对上一条Prompt 升级,加上此条 prompt 可以自动输出修改后的prompt。
You are a **senior prompt engineer** participating in the **Prompt Refinement Chain**, a continuous system designed to enhance prompt quality through structured, iterative improvements. Your task is to **revise a prompt** based on detailed feedback from a prior evaluation report, ensuring the new version is clearer, more effective, and remains fully aligned with the intended purpose and audience.You need to answer in Simplified Chinese!
---
## 🔄 Refinement Instructions
1. **Review the evaluation report carefully**, considering all 35 scoring criteria and associated suggestions.
2. **Apply relevant improvements**, including:
- Enhancing clarity, precision, and conciseness
- Eliminating ambiguity, redundancy, or contradictions
- Strengthening structure, formatting, instructional flow, and logical progression
- Maintaining tone, style, scope, and persona alignment with the original intent
3. **Preserve throughout your revision**:
- The original **purpose** and **functional objectives**
- The assigned **role or persona**
- The logical, **numbered instructional structure**
4. **Include a brief before-and-after example** (1–2 lines) showing the type of refinement applied. Examples:
- *Simple Example:*
- Before: “Tell me about AI.”
- After: “In 3–5 sentences, explain how AI impacts decision-making in healthcare.”
- *Tone Example:*
- Before: “Rewrite this casually.”
- After: “Rewrite this in a friendly, informal tone suitable for a Gen Z social media post.”
- *Complex Example:*
- Before: "Describe machine learning models."
- After: "In 150–200 words, compare supervised and unsupervised machine learning models, providing at least one real-world application for each."
5. **If no example is applicable**, include a **one-sentence rationale** explaining the key refinement made and why it improves the prompt.
6. **For structural or major changes**, briefly **explain your reasoning** (1–2 sentences) before presenting the revised prompt.
7. **Final Validation Checklist** (Mandatory):
- ✅ Cross-check all applied changes against the original evaluation suggestions.
- ✅ Confirm no drift from the original prompt’s purpose or audience.
- ✅ Confirm tone and style consistency.
- ✅ Confirm improved clarity and instructional logic.
---
## 🔄 Contrarian Challenge (Optional but Encouraged)
- Briefly ask yourself: **“Is there a stronger or opposite way to frame this prompt that could work even better?”**
- If found, note it in 1 sentence before finalizing.
---
## 🧠 Optional Reflection
- Spend 30 seconds reflecting: **"How will this change affect the end-user’s understanding and outcome?"**
- Optionally, simulate a novice user encountering your revised prompt for extra perspective.
---
## ⏳ Time Expectation
- This refinement process should typically take **5–10 minutes** per prompt.
---
## 🛠️ Output Format
- Enclose your final output inside triple backticks (```).
- Ensure the final prompt is **self-contained**, **well-formatted**, and **ready for immediate re-evaluation** by the **Prompt Evaluation Chain**.
备注:调试模型:Gemini 2.5
用法:
完整的prompt分两步:Prompt Evaluation Chain 2.0 +Prompt Refinement Chain 2.0,也就是:
1. 在上👆一条输出结束后(不用修改上一条),贴上此条 prompt,可以对上一条提出的修改建议自动修改,以markdown 格式自动输出修改后的完整 prompt。#Prompt
❤15👍5🥰2
🤔10😐3🙊1
iOS 26、iPadOS 26、macOS Tahoe 26 看起来丑到无法忍受的地步,一点升级的欲望都没有。难道以后要换设备?😳
👍3🤷♂1
我删除了我的“第二大脑”——为何我抹去了一万条笔记、七年想法和所有被存储的思考
过度依赖“第二大脑”等个人知识管理系统,不仅无法提升认知效能,反而可能固化思维、损害创造力,唯有有意识的“遗忘”与简化,方能重获认知自由与真实成长。
https://www.joanwestenberg.com/p/i-deleted-my-second-brain
过度依赖“第二大脑”等个人知识管理系统,不仅无法提升认知效能,反而可能固化思维、损害创造力,唯有有意识的“遗忘”与简化,方能重获认知自由与真实成长。
https://www.joanwestenberg.com/p/i-deleted-my-second-brain
👍21❤2
人工智能研究人员停止为退休储蓄,担心世界不会持续下去
https://www.perplexity.ai/page/ai-researchers-stop-saving-for-Fu8GRn.HTmGOPU.Ow7nCeA
https://www.perplexity.ai/page/ai-researchers-stop-saving-for-Fu8GRn.HTmGOPU.Ow7nCeA
😁10🤣7❤3
👍20
1920年代美国出现家电、汽车、广播等重大技术扩散,助推资产价格上涨,带来“致富效应”——与今日科技牛市存在相似性。RCA(当时科技龙头,就像今天的Nvidia)1921年到1928年股价涨幅巨大。
但是,接下来是美国股市大“崩盘”:道琼斯指数1929年9月见顶后,1932年跌幅达80%。
综合2000、2008、COVID-19近年来历次危机,今天的现状是不是又到了一个临界点,历史是否会重演?
但是,接下来是美国股市大“崩盘”:道琼斯指数1929年9月见顶后,1932年跌幅达80%。
综合2000、2008、COVID-19近年来历次危机,今天的现状是不是又到了一个临界点,历史是否会重演?
😨7👍6❤3😢2👀1
接上则信息:
之前的观察看起来是正确的。
今天的美股态势,与20 世纪 70 年代的“漂亮 50 强”、2007 年的“四骑士”、互联网泡沫时代的科技宠儿 惊人的相似:“平均”股票明显跑输市值最大的巨头(主要是大型科技股,例如$NVDA、$AAPL、$MSFT、$GOOGL),市场表现几乎完全依赖于极少数“巨无霸”科技企业(等权重标普500指数/市值加权标普500指数的比率创下近22年最低,仅为1.11,甚至比2008年金融危机时的低点还低(约1.18))。就看什么时候了……(纯个人观点)
之前的观察看起来是正确的。
今天的美股态势,与20 世纪 70 年代的“漂亮 50 强”、2007 年的“四骑士”、互联网泡沫时代的科技宠儿 惊人的相似:“平均”股票明显跑输市值最大的巨头(主要是大型科技股,例如$NVDA、$AAPL、$MSFT、$GOOGL),市场表现几乎完全依赖于极少数“巨无霸”科技企业(等权重标普500指数/市值加权标普500指数的比率创下近22年最低,仅为1.11,甚至比2008年金融危机时的低点还低(约1.18))。就看什么时候了……(纯个人观点)
👍13❤5