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rrhjm53270

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Joined
Mon, Dec 04, 2023, 8:54 AM UTC
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16 items

About rrhjm53270

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Recent public activity

  1. comment
    Comment #48970563

    Well, I think Chinese doesn't really have any grammar most of the time.

  2. comment
    Comment #48925472

    Good job. Thanks for sharing. I have a similar NAS server with 2 Intel(R) Xeon(R) CPU E5-2699 CPUs. I will test as well.

  3. comment
    Comment #48896486

    Would it possible to stack up to 16x32GB VRAM, and test the performance of a MOE model such as Deepseek-v4-flash?

  4. comment
  5. comment
    Comment #48186263

    Putin and Trump have already made the world chaotic enough; don't let Xi get involved too.

  6. comment
    Comment #47791013

    It is a bit off-topic, but would it possible to provide a light mode for this blog? I used to work during the day time, and my pupils had to contract to read, making it a very poor…

  7. comment
    Comment #47381208

    As an individual, this paper suggests that I must move beyond "Is this news true?" to "Why does it look like everyone agrees with this?"

  8. comment
    Comment #46770873

    Why not let AI write the code and then have it reviewed by humans? If you use AI to review my code, then you can't stop me from using another AI to refute it: this only foreshadows…

  9. comment
    Comment #46281145

    A trick that I used was ``` struct dummy{}; dummy d = ANYTHING_YOU_WANT_GO_GET_THE_TYPE; ``` Compile it with g++, and get the type info from compilation error -:)

  10. comment
    Comment #44841553

    It is very interesting that among top-20 models, all non-proprietary ones are from China.

  11. comment
    Comment #44312647

    Do you have any plan for the serialization and deserialization of your tensor and nn library?

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  13. story
  14. comment
    Comment #42295413

    I prefer write LaTex document, compile to pdf and then convert pdf to html using pdf2htmlEX.

  15. comment
    Comment #41863308

    Thank you for sharing such an interesting work. A little comment: adding some more aggressive optimization optimization options to simd C++ code to see the performance difference. …

  16. comment
    Comment #38515155

    I did roughly the same thing in one of my hobby project https://github.com/fengwang/nnl . But in stead of using SSD, I load all the weights to the host memory, and while inferencin…