Recent comments in /f/MachineLearning

Borrowedshorts t1_j92el1y wrote

Reply to comment by [deleted] in [D] Please stop by [deleted]

Not necessarily, and at least you can ensure higher quality discussion. Places like this with high member count inevitably get inundated with pop sci bs, politics, or irrelevant personal experiences. That's what has happened to the science, physics, and economics subs.

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PedroColo t1_j92dcff wrote

I agree with that. I’m recently graduated as Informatics/Computer AI Engineer and I’m starting in Machine Learning. So this subreddit is incredible for learn and discover interesting things. And I noticed how the recents posts are a bit StackOverflow stupid questions xD

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Top-Perspective2560 t1_j92c6w4 wrote

I’m aware that this is due to a high workload for the person moderating the sub, but I’d suggest a simple moratorium on chatGPT posts might be a good starting point. I believe you can automate that fairly easily based on post titles.

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symbiont t1_j929o2q wrote

A similar phenomenon is happening inside big tech companies. Innovation that would otherwise be innovative now isn't because it isn't powered by an LLM.

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aspoj t1_j923sxj wrote

Reply to comment by cass1o in [D] Please stop by [deleted]

Not like one could just do it if one wanted. Questions like "how do we make it self aware" are interesting topics and definitively difficult unanswered questions as of today.

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afireohno t1_j9230xx wrote

There are two lines of work that come to mind you might be interested in.

  1. Geometric deep learning primarily studies various types of invariances (translation, permutation, etc) that can be encoded in DL architectures.
  2. Algorithmic alignment studies the relationship between information flow in classical algorithms and DL architectures and how "aligning" the latter to the former can improve performance.

Edit: Spelling

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maxToTheJ t1_j9230jn wrote

Reply to comment by LcuBeatsWorking in [D] Please stop by [deleted]

Its always been there. This sub because of the sheer numbers game is flooded by non practitioners. It used to be worse because in the past OP would have been downvoted to hell

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TheGamingPhoenix_000 t1_j921z2o wrote

That just explains the api usage tho, not the actual reasoning and how they do the math. Like on section 5, they create a model but don’t actually explain the parameters they use. Like why do they use a dense layer instead of something else, why do they use the adam optimizer, etc.

I don’t understand what all the terms mean, dense, lstm, optimizers, and stuff, I want to find out what these all mean and when to use then

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blueSGL t1_j921j8u wrote

Reply to comment by Optimal-Asshole in [D] Please stop by [deleted]

> Be the change you want to see in the subreddit.

For that to work I'd need to script up a bot, sign up to multiple VPNs, curate an army of aged accounts and flag from a control panel new low quality posts to be steadily hit with downvotes, and upvotes to be given to new high quality posts.

Otherwise you are just fighting with the masses that are upvoting posts that are causing the problems and ignoring higher quality posts.

Thought provoking 2 hour in depth podcast with AI researchers working at the coal face: 8 upvotes, Yet another ChatGPT screenshot: hundreds of votes.

This is an issue on every sub on reddit.

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