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#prodigy

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[LangExtract](developers.googleblog.com/en/i) has got me curious, but I don't get what makes it different from a [spacy-llm/prodigy](prodi.gy/docs/large-language-m) setup. Is it just that I am spared the effort of chunking long input and/or constructing output JSON from entities and offsets by writing the corresponding python code myself?...

Ah, one more difference is that langextract is #OpenSource whereas prodigy is not (?). (On the other hand, prodigy has a better integration with a correction+training workflow.)

developers.googleblog.comIntroducing LangExtract: A Gemini powered information extraction library- Google Developers BlogExplore LangExtract: a Gemini-powered, open-source Python library for reliable, structured information extraction from unstructured text with precise source grounding.

So sad: not only has #StarTrek #Prodigy been canceled, it will also completely be gone from Netflix by the end of the year (season 1 is gone already).

What a shame, one of the best “New Trek” shows. What will we get instead? More crappy movies like Section 31 or yet another prequel show? 🙄

blog.trekcore.com/2025/05/star

TrekCore.com · STAR TREK: PRODIGY Creators Confirm Series is Leaving Netflix, Future Streaming Availability UncertainThere's more bad news for STAR TREK: PRODIGY, as showrunners Kevin & Dan Hageman confirm the animated series will depart Netflix by the end of 2025