The AI That Improves Itself: Autonomous Prompt Iteration Loop
The article discusses an innovative approach to improving AI-generated prompts through an autonomous iteration loop. By automating the evaluation of roast quality, the process becomes more efficient and data-driven. The results show significant improvements in roast generation speed and quality metrics after multiple iterations.
- ▪The initial roast generation took approximately 50 seconds per upload, which was deemed too slow for interactivity.
- ▪An evaluation harness was developed to automate the testing of prompts, measuring various quality metrics.
- ▪After five iterations, the average roast length decreased and the score variance improved, indicating better quality.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3833552) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Odilon HUGONNOT Posted on May 27 • Originally published at web-developpeur.com The AI That Improves Itself: Autonomous Prompt Iteration Loop #ai #promptengineering #claudecode #automation Each roast was taking 50 seconds per upload. Quality was unknown — we had a feeling, not data. The prompt had been written "by instinct" and never seriously evaluated.
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