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@thesephist

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@thesephist

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Recommended by 2 HN userstechnical
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Why Hacker News recommends it

2 comments from 2 distinct recommending readers, between 2023 and 2023.

  1. @PalmikRecommends2023
    Recently I was quite surprised how good inversion from the OpenAI ada-002 embeddings can be: twitter.com/thesephist/status/169809573…
    Text embeddings reveal almost as much as textRead the thread
  2. @thesephistRecommends2023
    Thanks for sharing Simon! I will note that by training an adapter layer between this autoencoder's embedding space and OpenAI's, it's possible to recover a significant amount of detail from text-embedding-ada-002's embeddings with this model too[0]. But as the paper author's reply in a different thread points out, their iterative refinement approach is able to recover much more detail in their research with a smaller model. [0] twitter.com/thesephist/status/169809573…
    Text embeddings reveal almost as much as textRead the thread

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