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machinelearning

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Thu, Jan 15, 2015, 9:41 PM UTC
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About machinelearning

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  1. comment
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  3. comment
    Comment #45873729

    Training is expensive so I wouldn't necessarily call it "pragmatic". - the tool's goal is actually to provide a lightweight, practical way to avoid wasting training cycles on bad d…

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    Comment #44452139

    "Most ways of constructing accurate models mathematically don’t actually work" > This is true for almost anything at the limit, we are already able to model spatiotemporal dynamics…

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    Comment #44086493

    > The reason is that it makes the essay easier to read. It's less work to read writing that flows well. How does that help the writer? Because the writer is the first reader Note t…

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    Comment #44085284

    So one thing to note is that the essay mentions that it refers specifically to "writing that is used to develop ideas" vs. "writing meant to describe others ideas". The way I inter…

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    Comment #44085218

    The issue with this article is that it is very imprecise. Are the standards for whether something “sounds bad” based on the average person’s reading or the intended audience. In it…

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    Comment #44084854

    > “So here we have the most exciting kind of idea: one that seems both preposterous and true.” Am I missing something or is the “seems true” part taking too many liberties here? If…

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    Comment #44009579

    What's a use case are you interested in re: video?

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    Comment #41779579

    This is a good problem to solve but the approach is wrong imo. It has to be done in a hierarchical way to know what you attended to + full context. If the differential vector is be…

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    Comment #40072329

    No, you've only discussed the Retrieval part of RAG, not the generation part. The current workflow is to use the embedding to retrieve documents then dump the text corresponding to…

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    Comment #40037264

    Nope that’s not how most rag systems work today. I looked at pgvector and couldn’t find anything similar. Do you have a link? Or maybe you misunderstood what I was taking about

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    Comment #40035425

    Both RAG and infinite contexts in their current states are hacks. Both waste compute because you have to re-encode things as text each time and RAG needs a lot of heuristics + a se…

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    Comment #39890236

    This is a simple version of the tree search approach that people suspect Q* is

  18. comment
    Comment #37964415

    As someone who studied math, I approve of this video. Summary available here: https://www.askyoutube.ai/share/6533668f27f67cda427ab90f

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    Comment #37804484

    https://www.askyoutube.ai/share/6521aa6077733b7c0ad24b55

  20. comment
    Comment #36461748

    Its much faster now and a share function has been added for pre-loaded examples

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    Comment #36368657

    That's reasonable, planning to add it tomorrow

  24. comment
    Comment #36368654

    Thanks for the feedback, I haven't done much optimization in regards to the summary. The screen real-estate of the summary has to be small so it is limited in the amount of informa…

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    Comment #36368634

    Glad that it worked well for you! I don't have any general advice that would be useful but that sounds like an interesting project