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Daniel Taylor's avatar

That's awesome, and really clear. Thank you.

I've been thinking about this recently in terms of a map like the one described here, a graph of 80k distinct concepts: https://www.numind.ai/blog/a-foundation-model-for-entity-recognition

I'm imagining being able to visualize the location of a text on a graph like that, then see the way it ramifies as you summarize/represent it at different levels of granularity (document, chapter, section, paragraph, sentence, etc.)

It could offer a way to discover adjacencies in a library of texts, too, like RAG to find other texts with threads adjacent to what you're currently reading.

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José J. Rodríguez's avatar

Great article! TF-IDF is one of those rare ideas that is at the same time Simple and Powerful

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