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How Snowflake’s open-source text-to-SQL and Arctic inference models solve enterprise AI’s two biggest deployment headaches
New open-source efforts from Snowflake aim to help solve that unsolved challenges of text-to-SQL and inference performance for enterprise AI.
“Existing LLMs can generate SQL that looks fluent, but when queries get complex, they often fail,” Yuxiong He, Distinguished AI Software Engineer at Snowflake explained to VentureBeat. Arctic-Text2SQL-R1 addresses the challenges of text-to-SQL through a series of approach.It uses execution-aligned reinforcement learning that trains models directly on what matters most: does the SQL execute correctly and return the right answer? “When you install Arctic inference and vLLM together, it just simply works out of the box, it doesn’t require you to change anything in your VLM workflow, except your model just runs faster,” Rajbhandari said.
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