keirp/automatic_prompt_engineer

• highabout#1

  Add a concise repository description

  原因：

  复制粘贴的修复

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  Automates the discovery and optimization of prompts for Large Language Models (LLMs) using a meta-LLM approach.

  待办完成忽略
• mediumreadme#2

  Reposition README opening to highlight the tool's function

  原因：

  当前

  # Large Language Models Are Human-Level Prompt Engineers
  
  Yongchao Zhou*, Andrei Ioan Muresanu*, Ziwen Han*, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba
  
  Project Page | ArXiv
  | Colab
  | Demo
  
  This repo contains code for "Large Language Models Are Human-Level Prompt Engineers". Please see our
  paper and project page for more results.
  
  # Abstract

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  # Automatic Prompt Engineer (APE): Automating LLM Prompt Discovery and Optimization
  
  This repository provides the code for the Automatic Prompt Engineer (APE) method, which automates the challenging process of discovering and optimizing effective prompts for Large Language Models (LLMs). Inspired by classical program synthesis, APE treats instructions as "programs" optimized by searching over LLM-proposed candidates to maximize a chosen score function. Our method significantly outperforms prior LLM baselines and achieves human-level performance on many NLP tasks.
  
  ## Paper & Project Page
  
  Yongchao Zhou*, Andrei Ioan Muresanu*, Ziwen Han*, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba
  
  Project Page | ArXiv
  | Colab
  | Demo
  
  This repo contains code for "Large Language Models Are Human-Level Prompt Engineers". Please see our
  paper and project page for more results.
  
  # Abstract

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How to automate the process of prompt engineering for large language models?

  你：未被推荐
  AI 推荐顺序：

  1. LangChain (langchain-ai/langchain)
  2. LlamaIndex (run-llama/llama_index)
  3. OpenAI API
  4. Anthropic
  5. Google
  6. Jinja2 (pallets/jinja)
  7. W&B Prompts
  8. Humanloop (humanloop/humanloop-python)
  9. Guardrails AI (guardrails-ai/guardrails)
  10. PromptPerfect

  AI 推荐了 10 个替代方案，却始终没点名 keirp/automatic_prompt_engineer。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What methods exist for automatically optimizing prompts to enhance LLM task accuracy?

  你：未被推荐
  AI 推荐顺序：

  1. PromptPerfect
  2. OpenAI Evals
  3. RLHF (Reinforcement Learning from Human Feedback)
  4. Tonic.ai
  5. Optuna
  6. DEAP
  7. Hyperopt
  8. Scikit-optimize
  9. AutoPrompt
  10. LangChain
  11. LlamaIndex

  AI 推荐了 11 个替代方案，却始终没点名 keirp/automatic_prompt_engineer。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  fail

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of keirp/automatic_prompt_engineer?

  pass
  ⚠AI 未点名 keirp/automatic_prompt_engineer —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts keirp/automatic_prompt_engineer in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 keirp/automatic_prompt_engineer

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo keirp/automatic_prompt_engineer solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 keirp/automatic_prompt_engineer

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？