New framework automates LLM prompt engineering using function calls

作者 PulseAugur 编辑部 · [9 个来源] · 2026-05-19 18:25

Researchers have developed Reflective Prompt Tuning (RPT), a new framework that leverages LLM function calling to automate prompt engineering. RPT simulates human prompt engineers by having an LLM optimizer evaluate a target model, identify failure modes, and iteratively revise prompts based on diagnostic reports and accumulated memory. This approach shows particular effectiveness in multi-hop and mathematical reasoning tasks, improving performance and confidence calibration. AI

影响 Automates prompt design, potentially reducing manual effort and improving LLM performance on complex reasoning tasks.

排序理由 Academic paper introducing a new method for prompt engineering.

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New framework automates LLM prompt engineering using function calls

报道来源 [9]

arXiv cs.CL TIER_1 English(EN) · Farima Fatahi Bayat, Moin Aminnaseri, Pouya Pezeshkpour, Estevam Hruschka · 2026-05-22 04:00

Reflective Prompt Tuning through Language Model Function-Calling

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…
Hugging Face Daily Papers TIER_1 English(EN) · 2026-05-20 22:21

Reflective Prompt Tuning through Language Model Function-Calling

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…
Medium — MCP tag TIER_1 English(EN) · Katrina Collins · 2026-05-22 10:00

Subagents, Skills, Slash Commands and MCP Prompts: Picking the Right Tool Without Losing the Plot

<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/…
Towards AI TIER_1 English(EN) · Elliott Girard · 2026-05-21 09:09

Modular System Prompts: How I Build Agents That Adapt to Every Session

<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…
Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-05-21 04:26

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 d

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…

链接 pickuma.com/…/ai-prompt-formula-for-fixin…
Medium — MCP tag TIER_1 English(EN) · Ishan Ghosh · 2026-05-20 01:25

From Prompt Bloat to Agentic Grace: How I Killed My 900-Line System Prompt

<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…
dev.to — LLM tag TIER_1 English(EN) · Anand Kannan · 2026-05-20 18:28

Prompt Caching Explained Like You're Talking to a Smart Human (Not an AI Researcher)

<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 …
dev.to — LLM tag TIER_1 English(EN) · Viraj Lakshitha Bandara · 2026-05-19 23:19

Stop Hardcoding AI Prompts: A Developer’s Guide to PromptCache

<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…
dev.to — LLM tag TIER_1 English(EN) · Suraj Bera · 2026-05-19 18:25

Day 3: Prompting Techniques in AI

<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…

报道来源 [9]

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