IT ServicesLLM-as-judge evaluation plus rule-based and execution-based quality checks over a golden question-to-SQL dataset.operational evaluation framework used to track querygpt performance over time, though affected by llm non-determinism and incomplete test coverage.

LLM-assisted evaluation of generated SQL quality

Uber tests QueryGPT by comparing its generated SQL against verified answers and using another LLM to judge how similar the generated query is to the correct one.

10.0
Quality
Score

Executive Brief

Business Problem Solved

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Value Drivers

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Technical Analysis

Model Strategy

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Data Strategy

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Implementation Complexity

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Market Signal

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Differentiation Factor

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Key Competitors

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Part of Application

LLM SQL and Knowledge Base Quality Evaluation

3 use cases in this application

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Source

https://uber.com/en-JP/blog/query-gpt?uclick_id=eaf82e80-940f-4baf-87d6-76c4fbd37f1a