AI Agent Learns to Talk to Databases Over Long Conversations

Ever wondered how a chatbot could actually fetch the right data from a huge database after a back‑and‑forth chat? Scientists have built a new system called MTSQL‑R1 that does just that.
Instead of guessing the answer in one go, the AI works like a diligent assistant: it proposes a query, checks the database’s reply, verifies if the answer makes sense, and then tweaks the query until everything lines up.
Think of it as a chef tasting a sauce, adjusting the seasoning, and tasting again until the flavor is perfect.
This “propose‑execute‑verify‑refine” loop lets the AI handle long, multi‑turn conversations without getting lost or giving nonsensical results.
The breakthrough ...

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