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Members-Only
Recent Talks & Demos are for members only
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Shows how to combine Text‑2‑SQL with meta‑prompting techniques—prompt optimization, iterative self‑correction, and LLM judging—to improve Snowflake queries and evaluate output reliability.
Ive recently created a Text2SQL Application that allows Retail Executives to ask natural language questions about their business performance metrics housed in a Snowflake database. In addition to performing Text2SQL LLM Prompting, I’ve used some other Meta Prompting Techniques that I would like to introduce to the audience.
All of these techniques are founded in prior research within the domain.
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