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olq_plo

HN member
Joined
Sun, Apr 14, 2019, 9:27 AM UTC
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11
Public activity
23 items

About olq_plo

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Recent public activity

  1. comment
    Comment #48830559

    Dunno why people still write about Kokoro, there are better alternatives. Pocket TTS has more natural intonation and voice cloning. Supertonic 3 is another great model in the same …

  2. comment
    Comment #48744384

    Dumb. This is what modules are for. Also, the stdlib is extremely well designed. It considers edge cases most people never think about. Source: I am a Boost Developer.

  3. comment
    Comment #47813132

    That blog post is full of AI slop. Repeats the same argument a gazillion times. It's not X, it's Y. Awful to read.

  4. comment
    Comment #47315200

    Great, thanks for making me Google what CRM means in this context. Neither your post nor your website explains the acronym.

  5. comment
    Comment #46671355

    And now you can do this with polars in parallel on all your cores and the GPU, using almost the same syntax as in pyspark.

  6. comment
    Comment #45943567

    Corollary: Doing the thing and not talking about it in a hammer tweet is also 'not doing the thing'.

  7. comment
    Comment #45702516

    I wrote my first post about parsing webpages to structured data with a LLM in January, using local models. Now its October and I did it again with current models and libraries. Boy…

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    Comment #45596745

    The post is so painfully obviously AI written, it hurts my eyes. The Setup The Scoop The Conclusion I hate AI slop.

  10. comment
    Comment #45135614

    Yes, bad article to omit that. It is such a cool fun fact. Gauss was unreal.

  11. comment
    Comment #45128028

    Since you seem to know your stuff, why do LLMs need so much data anyway? Humans don't. Why can't we make models aware of their own uncertainty, e.g. feeding the variance of the nex…

  12. comment
    Comment #44222832

    IANAL, but it means the commit itself is public domain. When integrated into a code base with a more restrictive license, you can still use that isolated snippet in whatever way yo…

  13. comment
    Comment #43969937

    Very cool idea. Can't wait for converted models on HF.

  14. comment
    Comment #27094511

    This is not everyone, but if you've been writing scientific papers with LaTeX, you may have come across this issue. You go to an online database (Inspire or ADS) to fetch some refe…

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  16. comment
    Comment #25343766

    Apart from the visible changes to the user interface, I completely swapped out the foundation. iminuit consists - at its core - of Python bindings to the Minuit2 C++ library. We us…

  17. comment
    Comment #25343726

    Hi, I present the v2.0 overhaul of iminuit, the Jupyter-friendly Python interface for CERN's Minuit2 C++ library. iminuit is a minimizer to find a minimum of a mathematical (Python…

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  20. comment
    Comment #19658476

    Thanks for the feedback, I am going to update the example in the readme. The point was that boost::histogram plays nicely with the C++ stdlib algorithms, but that seems to be distr…

  21. comment
    Comment #19658458

    Some Boost libraries have little or no dependency on other libraries, e.g. boost::mp11. In the past, our libraries used to be very interdependent, but we recognize that this is an …

  22. comment
    Comment #19658438

    Glad to hear it! What was the problem with Boost Variant exactly?

  23. comment
    Comment #19658432

    Labels are metadata. You can attach arbitrary metadata to each axis or no metadata at all. The metadata is sometimes useful to keep track what each axis range was representing. For…