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.
Original Excerpt
The generation–verification gap that sampling alone never closes, measured on 306,803 NYC 311 complaints Continue reading on Medium »