Self-Improving AI Agents in Practice: How a Small Model Learns to Verify Its Own SQL
中文摘要
小型AI模型通过学习自我验证SQL来提升性能，弥补了采样无法消除的生成与验证差距，并在纽约311数据上进行了验证。
English Summary
Small models improve by learning to verify their own SQL, closing the generation-verification gap that sampling alone cannot, tested on NYC 311 data.
原文节选
The generation–verification gap that sampling alone never closes, measured on 306,803 NYC 311 complaints Continue reading on Medium »