elvis@omarsar0 · XAI 摘要
GoogleResearch推出Gemini-SQL2，基于Gemini 3.1 Pro，在BIRD benchmark上达到Text-to-SQL的SOTA结果，能将自然语言翻译为可直接执行的SQL查询。DAIR.AI的Elvis Saravia指出，现实世界数据复杂混乱，尽管强推理模型表现不错，但定制模型（如Gemini-SQL2）在此类任务上更胜一筹。他认为在知识库、搜索、图数据库等领域也存在类似机会，BIRD是一个非常具有挑战性的基准。
Text-to-SQL might sound like a solved problem.
Far from it. Data gets messy and complex really fast in the real world. Strong reasoning models are great， but nothing beats a custom model at this stuff. Gemini-SQL2 looks very strong here. BIRD is a tough benchmark. I suspect there are plenty of opportunities like this in KBs， search， graph databases， etc.
🚀 Introducing Gemini-SQL2, our breakthrough text-to-SQL capability powered by Gemini 3.1 Pro! We've achieved state-of-the-art results on the highly competitive...