Live data from Hacker News

Viewing profile — perone

perone

HN member
Joined
Tue, Oct 27, 2009, 5:49 PM UTC
HN karma
1,657
Public activity
199 items

About perone

No profile information was provided.

Recent public activity

  1. story
  2. story
  3. story
  4. comment
    Comment #43897517

    I share the same feeling, I think filesystems will have to reinvent themselves given the pace of how useful ML models became in the past years.

  5. comment
    Comment #43897501

    I'm planning to support MacOS, the only issue is with the encoders that I'm using now, I will probably work more on it next week to try to make a release that works on MacOS as wel…

  6. comment
    Comment #43897493

    Hi, there are no LLMs involved, it is all local and an embedding (vector representation) of the data is created and then that is used for search later, nothing is sent to cloud fro…

  7. comment
    Comment #43897474

    This is quite different than LanceDB. In VectorVFS I'm using the inodes directly to store the embeddings, there is no external file with metadata and db, the db is your filesystem …

  8. comment
    Comment #43897459

    Hi, I think Rust won't bring much benefit here to be honest, the bottleneck is mainly the model and model loading. It would probably be a nightmare to load these models from Rust, …

  9. comment
    Comment #43897444

    Hi, not sure if I understood what you meant by opaque embeddings as well, but the reason why files surface or not is due to the similarity score (which is basically the dot product…

  10. comment
    Comment #43897289

    Hi, it is quite different, there is no LLM involved, we can certainly use it for a RAG for example, but what is currently implemented is basically a way to generate embeddings (vec…

  11. comment
    Comment #43896356

    Thanks, I'm working on implementing the commands to clean the embeddings (you can now do that with Linux xattr command-line tool). I'm supporting CPU or GPU (NVIDIA) for the encode…

  12. comment
    Comment #43896265

    Thanks. There is a bit of a nuance there, for example: you can build an index in first pass which will indeed be linear, but then later keep it in an open prompt for subsequent que…

  13. story
  14. story
  15. story
  16. comment
    Comment #42135894

    I'm not sure I agree about the data manifolds being too rigid. When we look at the quality score-based generative models and diffusion we can see a clear evidence of how flexible t…

  17. story
  18. story
  19. comment
    Comment #41062925

    I wrote an article about it and S2 some time ago as well for those interested: https://blog.christianperone.com/2015/08/googles-s2-geometry...

  20. story
  21. story
  22. comment
    Comment #38974971

    I find it interesting how everyone ignore EuclidesDB ( https://euclidesdb.readthedocs.io ) which came before Milvus and others in 2018, it is free and open-source. Same for all pre…

  23. story
  24. story
  25. comment
    Comment #36925320

    https://feste.readthedocs.io/en/latest/design.html , this seems to be what Feste already does, and it offers automatic batching as well.