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Vijay Kalmath
November 7, 2025
Research
Beyond "Out-of-the-Box": Why Enterprises Need Specialized RL Agents
While general-purpose AI models are powerful, they often fail to deliver on complex, specialized enterprise workflows that use private data. We share results from our real world work in the insurance and legal industries, highlighting how our RL-tuned agents outperformed leading LLMs and dive into how we achieved these performance gains.
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January 23, 2025
Research
When RLHF Meets Text2SQL
Text2SQL systems promise to democratize access to enterprise data but often fail to handle the complexity of real-world database queries, even if they perform well on test datasets. We found that Reinforcement Learning from Human Feedback (RLHF) is a viable approach for active learning from incorrect production queries to improve Text2SQL accuracy.
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