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bclavie

HN member
Joined
Tue, Jan 31, 2023, 2:15 PM UTC
HN karma
32
Public activity
24 items

About bclavie

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Recent public activity

  1. comment
    Comment #42476865

    Hey! It’s more like comparing apples to apple pie. BGE-M3 is a fine-tuned embedding models. This means that they’ve taken a base language model, which was trained for just language…

  2. comment
    Comment #42468787

    They perform different roles, so they're not directly comparable. Jina V3 is an embedding model, so it's a base model, further fine-tuned specifically for embedding-ish tasks (retr…

  3. comment
    Comment #42467749

    Sentence Transformers ( https://sbert.net/ ), the most used library for embedding models (similarity, retrieval.)

  4. comment
    Comment #42467413

    We had a bit of a discussion around it, but I figured that 6 years warranted the prefix, and it's easier to remember in the sea of new acronyms popping up everyday. Besides, PostMo…

  5. comment
    Comment #42467397

    Thank you! We're fixing the link.

  6. comment
    Comment #42467393

    Hey, Ben here, one of the paper's core author authors. The responses you got were mostly spot on. For (1), it's because BERT has both noticeably fewer parameters, and we're compari…

  7. story
  8. comment
    Comment #40812363

    Hey! Thanks for posting this. I'm the author of this post -- please feel free to shout if you've got any questions

  9. comment
    Comment #38869228

    Longer Background/Explanation: I’ve been working on RAG problems for quite a while now, and it’s very apparent that solving real-life problems with it is very, very different from …

  10. story
    Show HN: RAGatouille, a simple lib to use&train top retrieval models in RAG apps

    Hey HN! If you’re at all interested in LLMs/LLM-apps, you’ve probably heard of RAG: Retrieval-Assisted Generation, i.e. retrieving relevant documents to give to your LLM as context…

  11. comment
    Comment #38086838

    Thanks! I agree -- I find it much easier to skim a few paragraphs than to skim through a video when trying to consume information quickly if I'm not sure I want to commit to a full…

  12. comment
    Comment #38086824

    Merci! It's early on but I'm quite happy with how the first prototype turned out.

  13. comment
    Comment #38086818

    > How do you break down the segments/sections? Is it just fixed time? What happens if there are more than one topic discussed in the segment? Currently it's just a dumb fixed time …

  14. comment
    Comment #38086750

    Haha merci! Prends ton temps, pour le moment le tout tourne sur des crédits cloud gratuits alors la seule utilité du bouton premium c'est de faire de la lumière. Bonne chance pour …

  15. comment
    Comment #38083126

    > Impressive, thanks. How could one run something like that on local videos ? It depends how involved you'd want it to be really. You can get a very simple summary using something …

  16. story
    Show HN: EnfinBref- {GPT3-5|Mistral-7B} YouTube summaries, segment by segment

    A neat (in my opinion) little side-project I've been working on, both to get somewhat basic React skills going, and to work with LLMs on even more cool projects to build. It should…

  17. comment
    Comment #34609470

    Parsing pdfs (and powerpoints) and breaking them into "askable" chunks is definitely something we've been looking into and are keen to roll out. If you'd like to talk more about yo…

  18. comment
    Comment #34609040

    I'm not too familiar with botco.ai, but from what I can see, we're approaching fairly different problems. DocAsker once deployed on an internal documentation (for example) would al…

  19. comment
    Comment #34608796

    I've experimented with a few approaches and to be honest, kind of gone with what "felt best" as we're quite artisanal with our testing approach at the moment. We try to always go f…

  20. comment
    Comment #34608769

    It's kind of like that. You always have the option of fine-tuning, although that quickly gets pricey if you aren't self hosting (e.g. OpenAI bills an order of magnitude higher for …

  21. comment
    Comment #34608679

    Sorry about that, I'll dig into the logs -- we had a lot more traffic than we expected overnight so it could be that the backend didn't scale quickly enough and ended up timing out…

  22. comment
    Comment #34608671

    This is something I've thought about a lot, as I worked in legaltech for a few years. The main issue here however would be the (lack of) networking and breaking into the legal mark…

  23. comment
    Comment #34608661

    We're working on a similar thing using the Notion API, so far synthetic tests are really encouraging, but we haven't quite tested it on a massive/sprawling corporate doc. Very exci…

  24. comment
    Comment #34595841

    Hi HN! I'm the other person working on this with Ankly. This came up as a pet project as we were eager to put some LLM work into production. Currently piggy-backing off APIs, thoug…