Which LLM writes the best analytical SQL?
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Tinybird's LLM SQL Generation Benchmark evaluates how 19 popular language models perform in generating SQL queries to filter and aggregate large datasets. Comparing models like OpenAI's GPT-4 Turbo and Anthropic's Claude, the benchmark measures accuracy, efficiency, and query latency, highlighting the challenges LLMs face in
Table of contents
Why We’re Doing ThisThe Dataset: GitHub ArchiveThe QuestionsThe System PromptModels TestedHow We Measure PerformanceMeasuring Output EfficiencyMeasuring Output ExactnessKey ResultsTakeawaysSome guidanceExplore the benchmark, contribute, and suggest models4 Comments
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