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deoxykev

HN member
Joined
Thu, Jan 30, 2020, 9:04 AM UTC
HN karma
60
Public activity
35 items

About deoxykev

meet.hn/city/us-Iowa City Interests: AI/ML, Cybersecurity, Entrepreneurship, Hacking, Philosophy, Music, Startups ---

Recent public activity

  1. story
  2. comment
    Comment #46028887

    I live there in that city. There are hardly any homeless at all here. Not like other cities at least. I could see it being a major problem in other places.

  3. comment
    Comment #45315093

    How about LLM chat over DNS? https://github.com/accupham/llm-dns-proxy

  4. comment
    Comment #45315070

    And it typically works on captive portals too before payment.

  5. comment
    Comment #44608419

    Meta-commentary always leans nerdier.

  6. comment
    Comment #43115308

    Curious to hear what kind of work you do. Because there are definitely fields where productivity as 10x'd because of AI tools.

  7. comment
    Comment #43093373

    HTMX and shoelace is an awesome combo. Super fast to prototype things and tweak as needed. Being able to copy paste snippets and directly inject data in a straightforward way is a …

  8. comment
    Comment #42936906

    Don't forget to finetune the reranker too if you end up doing the embedding model. That tends to have outsized effects on performance for out of distribution content.

  9. comment
    Comment #42922200

    Interesting, I had never heard about min-p until now. From what I understand, it's like a low-pass filter for the token sampling pool which boosts semantic coherence. Like removing…

  10. comment
    Comment #42920777

    Yeah, there is a clear bottleneck somewhere in llama.cpp. Even high end hardware is struggling to get good numbers. The theoretical limit should be higher, but it's not yet. Benchm…

  11. comment
    Comment #42920748

    I don't think autoregressive models have a fundemental difference in terms of reasoning capability in latent space vs token space. Latent space enables abstract reasoning and patte…

  12. comment
    Comment #42920656

    The fundemental challenge of using log probabilities to measure LLM certainty is the mismatch between how language models process information and how semantic meaning actually work…

  13. comment
    Comment #42917208

    My take: the distills under 32B aren’t worth running. Quants seem to impact quality much more than other models. 32B and 70B unquantized are very good. 671B is SOTA.

  14. comment
    Comment #42899469

    8x 3090 will net you around 10-12tok/s

  15. comment
    Comment #42305919

    Have you hit any non-determinism errors keeping workflow state outside temporal?

  16. comment
    Comment #42302391

    Hey, I’m building agents on top of temporal as well. One of the main limitations is child workflows can not spawn other child workflows. Are you doing an activity for every prompt …

  17. comment
    Comment #41649687

    Imhex is a really great frontend for Capstone. https://github.com/WerWolv/ImHex

  18. comment
    Comment #41488792

    Are you able to run 405B? 4Bit quant vram requirements are just shy of 192GB.

  19. comment
    Comment #39986596

    4 bit quants should require 85GB VRAM, so this will fit nicely on 4x 24G consumer GPUs, plus some leftover for KV cache optimization.

  20. comment
    Comment #39970025

    How does this compare to LayoutLMv3? Was it trained on forms at all?

  21. comment
    Comment #39374330

    Hi there, I would be interested in a chat about those back-office patterns and use cases. Could you send an email to a2V2aW4gQCBkZW94eSAuIG5ldA==

  22. comment
    Comment #39191078

    I use ansible to deploy and sync scripts, services, etc. I think it would work well for you use case as well.

  23. story
  24. comment
    Comment #39157973

    Here is the list from the thread: --- 1. A Man Named Pearl 2. Once Upon a Time in Northern Ireland 3. Microcosmos 4. Crip Camp! 5. Keep The River On Your Right 6. All The Beauty An…

  25. comment
    Comment #39123517

    A default key expiry of 3 days would be helpful here too, as it would mitigate the threat of someone compromising the endpoint and extracting secrets from browser history.