研究人员开发了反射式提示调优（RPT），一个利用LLM函数调用来自动化提示工程的新框架。RPT通过让LLM优化器评估目标模型、识别故障模式，并根据诊断报告和累积的记忆迭代地修改提示，来模拟人类提示工程师。这种方法在多跳和数学推理任务中表现出特别的有效性，提高了性能和置信度校准。 AI
影响 自动化提示设计，可能减少人工工作量并提高LLM在复杂推理任务上的性能。
排序理由 介绍提示工程新方法的学术论文。
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arXiv:2605.21781v1 Announce Type: new Abstract: Large language models (LLMs) have become increasingly capable of following instructions and complex reasoning, making prompting a flexible interface for adapting models without parameter updates. Yet prompt design remains labor-inte…
Large language models (LLMs) have become increasingly capable of following instructions and complex reasoning, making prompting a flexible interface for adapting models without parameter updates. Yet prompt design remains labor-intensive and highly sensitive to formatting, phrasi…
<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@happycatc/subagents-skills-slash-commands-and-mcp-prompts-picking-the-right-tool-without-losing-the-plot-78744556f683?source=rss------mcp-5"><img src="https://cdn-images-1.medium.com/max/2600/…
<h4><em>The dynamic system prompt isn’t a layer. It’s a compiler. And Anthropic’s own leaked code proves it.</em></h4><h3>The Confession</h3><p>In <em>Context Engineering: What I Changed in My Agents</em>, I introduced the dynamic system prompt as Layer 1 of a six-layer context s…
The 5-Part AI Prompt Formula That Actually Fixes Bugs A concrete framework for structuring prompts that get Claude, Copilot, and other AI coding assistants to diagnose root causes rather than guess at patches. https:// pickuma.com/posts/ai-prompt-fo rmula-for-fixing-bugs/?utm_sou…
<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://generativeai.pub/from-prompt-bloat-to-agentic-grace-how-i-killed-my-900-line-system-prompt-37bd4dfe9986?source=rss------mcp-5"><img src="https://cdn-images-1.medium.com/max/600/1*vrKla6VW0T3pWvavzCfziA.pn…
<p>If you've started using AI APIs for coding assistants, chatbots, agents, RAG systems, or internal copilots, you've probably heard the term:</p> <blockquote> <p>“Prompt Caching”</p> </blockquote> <p>Most explanations online sound overly technical.</p> <p>So let’s explain it in …
<blockquote> <p>Manage, version, and deploy your team’s AI prompts like code — with a TypeScript SDK, REST API, and a shared library that keeps everyone on the same page.</p> </blockquote> <p>If you’ve been building AI-powered features for any length of time, you’ve hit this wall…
<p>AI Prompting techniques: Zero-shot, One-shot, Few-shot</p> <p>After using the ChatGPT and other AI tools, I used to think prompts were just simple text inputs that AI models magically processed. But as mentioned in my Day 1 post: AI models are just <strong>next-word predictors…