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salamo

HN member
Joined
Sun, Nov 27, 2022, 4:53 AM UTC
HN karma
404
Public activity
132 items

About salamo

https://blog.lukesalamone.com

Recent public activity

  1. comment
    Comment #49251689

    As someone who's done something similar ( https://blog.lukesalamone.com/posts/creating-tiny-semantic-s... ) the expensive part wasn't the training itself but the data curation and …

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  3. comment
    Comment #49001146

    Possible reasons: - They might be dynamically adjusting these at inference time [1]. For example, start with a low temperature and generate samples with increasingly high temperatu…

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    Comment #48972148

    Yeah, the model is small enough that inference is already basically instant for my usecase (only 6 transformer layers for the blog search).

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    Comment #48971236

    Yeah, I also found that for ultra low footprint models ORT is a big portion of the total payload, because it contains logic for general ONNX graph operations. In my case I found th…

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    Comment #48971118

    On the one hand, compacting at 300k saves OpenAI 40%. That's great. On the other hand, $10 for 1M tokens still seems really high? It's not too hard to blow through that in an hour …

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    Comment #48965452

    I come at it from a slightly different angle. I write technical blog posts with visualizations and live demos. That usually means embedding a bit of custom javascript in the page f…

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    Comment #48950176

    $1.7 billion is small potatoes. My bill is over $155 billion and growing. I'm worried if the trend continues I'll have depleted my rainy day fund.

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    Comment #48604621

    An alternative algorithm which would probably converge faster than 100 questions would be something like Elo or Glicko 2. A word's "difficulty" would be some function of how rare i…

  13. comment
    Comment #48537747

    I’m working on an iOS app, One Million Checkmates [1]. It scratches an itch I had of chess puzzles for a long plane ride. This app has a functionally unlimited number of puzzles, a…

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    Comment #48018089

    > I'd really wouldn't on the machine. I'll second this. Much better to set up a second machine you can ssh/tailscale into. If a training run takes down your training machine, you d…

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    Comment #47162832

    See, that's why I have to post these things. Someone will inevitably reply with something more clever.

  18. comment
    Comment #47131749

    You'll also have some fun pinning down the difference between an "inaccuracy", a "mistake", and a "blunder". These are meaningful delineations for humans but not for a chess algori…

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    Comment #44154414

    Really happy to see additional solutions for on-device ML. That said, I probably wouldn't use this unless mine was one of the specific use cases supported[0]. I have no idea how ha…

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    Comment #42997815

    I mainly blog for myself in the future, but in a slightly different flavor than the author mentions. If there's a complicated ML concept that I'd really like to understand, explain…

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  23. comment
    Comment #42413695

    Ok, I emailed you.

  24. comment
    Comment #42412099

    I live in the South Bay and would be willing to "host". But there's no way to announce a meetup or even reach out to some people.

  25. comment
    Comment #41891244

    I believe that observation is borne out in the statistics too, but traditional chess training usually centers around finding the best, hard-to-find move in a position rather than a…