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Viewing profile — jiayq84

jiayq84

HN member
Joined
Tue, Apr 18, 2017, 6:38 PM UTC
HN karma
119
Public activity
45 items

About jiayq84

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Recent public activity

  1. story
  2. comment
    Comment #40100064

    I do a startup called Lepton AI. We provide AI PaaS and fast AI runtimes as a service, so we keep a close eye on the IaaS supply chain. For the last few months we see supply chain …

  3. comment
    Comment #39145082

    Full open-source code with Apache license here: https://github.com/leptonai/search_with_lepton

  4. comment
    Comment #39145067

    Hi folks - Yangqing from Lepton here. The idea came from a coffee chat with a colleague on the question: how much of the RAG quality comes from the old good search engine, vs LLMs?…

  5. story
    Show HN: Conversational search in less than 500 lines of Python

    Hi there! We built a Bing-chat-like conversational search engine with less than 500 lines of python code (and a similar amount of frontend script). The source code is fully open-so…

  6. comment
    Comment #38882354

    General availability of the structured decoding capability for ALL open-source models hosted on Lepton AI. Simply provide the schema you want the LLM to produce, and all our model …

  7. story
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    Comment #38845523

    Super cool exhibition of what a local machine can already do in the AI frenzy!

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    Comment #37772295

    Oh wow yeah, that is a beast. Let me give it a shot.

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    Comment #37772277

    Thanks so much for the warm words!

  11. comment
    Comment #37772144

    Thanks - we definitely agree that llama.cpp is great. Big fan of their optimizations. We are more or less orthogonal to the engines though - in the sense that we serve as the infra…

  12. comment
    Comment #37772110

    Thanks - the policies are listed here: https://www.lepton.ai/policies we'll put a link on our homepage. In short - we do not collect, record, or log any of your prompts and respons…

  13. comment
    Comment #37771791

    In theory one can have 640G = 8 * 80G A100s memory and launch it. 180B Falcon with fp16 will be 360G, so there would be enough memory. It's definitely going to be very expensive in…

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    Comment #37771415

    Great catch! Our cloud machine encountered a cuda error (the GPU fell off PCIe) - had to restart it. It's back to normal now. All the more reason to have a managed version of servi…

  15. comment
    Comment #37771397

    It's not only about "building a docker" but also maintaining multiple models, multiple environments and a lot of users. Imagine there is a group of engineers each needing to deploy…

  16. comment
    Comment #37767876

    To show some actual coding examples, We have made the python library open-source at https://github.com/leptonai/leptonai/ . With it, launching a common HuggingFace model is as simp…

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  19. story
    Show HN: Running LLMs in one line of Python without Docker

    Hello Hacker News! We're Yangqing, Xiang and JJ from lepton.ai. We are building a platform to run any AI models as easy as writing local code, and to get your favorite models in mi…

  20. comment
    Comment #22669677

    I don’t want to be mean, but since you mentioned RCNN - no, you are dead wrong. RCNN was open sourced in 2014, check the repo: https://github.com/rbgirshick/rcnn Not to mention tha…

  21. comment
    Comment #22642428

    Just to clarify a little bit... "At the time, very few object detection models had public implementations" - this is wrong. Almost all object detection models had public implementa…

  22. comment
    Comment #15318427

    We are moving to Apache 2.0 in a few days. Early draft at https://github.com/Yangqing/caffe2/tree/apache pending double check to make sure we are honoring all existing contributors…

  23. comment
    Comment #15318127

    Yangqing (creator and main author of Caffe/Caffe2) here. We are moving to Apache 2.0 in a few days.

  24. comment
    Comment #15318126

    Yangqing (creator and main author of Caffe/Caffe2) here. We are moving to Apache 2.0 in a few days.

  25. comment
    Comment #15197075

    So what we do is to keep syntax=proto2, but allow users to compile with both protobuf 2.x and protobuf 3.x libraries. Minumum need is 2.6.1. We kind of feel that this gives maximum…