๐ญ๐ฌ๐ฌ,๐ฌ๐ฌ๐ฌ ๐ฟ๐ผ๐๐. ๐ฐ๐ฌ ๐๐ฒ๐ฐ๐ผ๐ป๐ฑ๐. ๐ด๐ต% ๐ฎ๐ฐ๐ฐ๐๐ฟ๐ฎ๐ฐ๐. $๐ฌ.๐ฑ๐ฌ.
This is a dev post classified by Jev as Databases (a launch), kept by the Dev Radar because it carries real work, not commentary.
๐ญ๐ฌ๐ฌ,๐ฌ๐ฌ๐ฌ ๐ฟ๐ผ๐๐. ๐ฐ๐ฌ ๐๐ฒ๐ฐ๐ผ๐ป๐ฑ๐. ๐ด๐ต% ๐ฎ๐ฐ๐ฐ๐๐ฟ๐ฎ๐ฐ๐. $๐ฌ.๐ฑ๐ฌ. Next Tuesday, weโre going live to demo our new prompt_jev() function, which brings TypeSafe AIโs Jev model to MotherDuck for fast, SQL-native text classification. Jacob Matson, Hamilton Ulmer, and Dumky de Wilde will run it against a live dataset, explain what makes Jev different from a general-purpose LLM, and unpack the benchmark September 29, 9:30am PDT Save your spot: https://luma.com/prompt_jev
Posted by MotherDuck (10.4k followers) 1 h ago ยท 13 likes ยท 390 views ยท view the original post on X. Kept by the Dev Radar as Databases.
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