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Hamilton Ulmer
@hamiltonulmer
👁️📈👁️ @motherduck product design & engineering. Interested in tools and infra for data analysis, decision-making, and deep work
加入 January 2009
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Today we're launching prompt_jev(), which brings Jev, a new kind of AI model from @typesafeai, to MotherDuck SQL. Jev makes text classification super fast, dirt cheap, and as easy as prompting an LLM. In our tests, it ran at 50x the speed and 1% the cost of comparable frontier models, with similar or better accuracy. For analytics, this opens up scoring and labeling workflows that used to be too slow or costly. Classify all your data, rerun when your labels change, or filter on meaning in a WHERE clause while doing exploratory data analysis. Live now in MotherDuck!
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