LLMs are great at understanding text This allows them to extract structured information from text: to use in forms, for query generation, knowledge base construction, etc `pip install kor` by @veryboldbagel is the best attempt at this I've seen eyurtsev.github.io/kor/index…

Mar 11, 2023 · 5:26 PM UTC

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Replying to @hwchase17 @veryboldbagel
This is very neat. Where do you think this is best used? I can see some really good use cases for structuring LLM response data, which I found pretty annoying in vanilla JS. Allows you to get somewhat deterministic responses from LLMs without having to prompt engineer too much
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I think this is slightly different than strucutring response data - agree that’s super useful and we’re working on some cool stuff there
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Replying to @hwchase17 @veryboldbagel
Can this be used together with LangChain?
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what would be the main way you'd want to use it? basically be able to treat this extraction pipeline as a chain?
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Replying to @hwchase17 @veryboldbagel
This would be a beautiful way to structure the memory component of a conversational agent ⚡ Might not capture some subtleties but would probably work well with a summary memory or a buffer window memory to complement the parts that the knowledge base has missed.
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Replying to @hwchase17 @veryboldbagel
@memdotai mem it
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Saved! Here's the compiled thread: mem.ai/p/fFmCbuAXu9czTFR86g6… 🪄 AI-generated summary: "Language models are powerful tools for understanding text, which can be used to extract structured information from text for various applications such as forms, query...
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Replying to @hwchase17 @veryboldbagel
@memdotai mem it
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Saved! Here's the compiled thread: mem.ai/p/ebcy5uyzm3Zdu5CalkL… 🪄 AI-generated summary: "Language models are powerful tools for understanding text, which can be used to extract structured information from text for various applications such as forms, query...
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Replying to @hwchase17 @veryboldbagel
I think there is another implementation that could surprise you A LOT to achieve even better results, hope you enjoy it! Looking forward to hear feedback:(turbo not yet implemented) github: github.com/losideadores/almo… Playground: losideadores.github.io/almos…

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