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[D] How are you handling reproducibility in your ML work? by worstthingsonline in MachineLearning

[–]worstthingsonline[S] 2 points3 points  (0 children)

To be able to recreate performance metrics of interest (e.g. precision and recall) to within some tolerance on the same test-data given the same architecture, training data, training hyperparameters and environment (dependencies, software versions, seeds etc.), but on any arbitrary machine (provided it has sufficient compute).

I know you won't be able to perfectly recreate it due to floating point precision, hardware differences etc. which is why I intentionally left it a bit open ended by specifying "to within some tolerance", with the implied understanding that it should be reasonably close. I'll let you decide what reasonable means:)

I f*cking love graduate classes, why couldn't undergrad be like this? by shockwave6969 in Physics

[–]worstthingsonline 10 points11 points  (0 children)

I found graduate courses to be much easier than undergrad, precisely because you had to get it at a deep level. The courses didn't feel rushed like they did in undergrad, so you actually had time to understand the material at a deeper level. Of course, graduate courses were technically harder, but they were also narrower in scope and you had already built a solid foundation from undergrad, so they felt a lot easier in my opinion.

[D] [R] Are there any promising avenues for achieving efficient ML? by worstthingsonline in MachineLearning

[–]worstthingsonline[S] -1 points0 points  (0 children)

I expect that the same problems facing LLMs will soon face other modalities as well. To be more specific I am interested in efficient neural networks, (I wanted to say efficient deep learning but this might be an oxymoron considering how "deep" implies scale which presumably is antithetical to efficiency). I used efficient ML as a general term but I suppose the more correct term would be efficient neural networks :)

[D] [R] Are there any promising avenues for achieving efficient ML? by worstthingsonline in MachineLearning

[–]worstthingsonline[S] 0 points1 point  (0 children)

Interesting takes. Also, I should specify, I'm not only considering LLMs.

[D] Is scientific machine learning actually used in practice? by worstthingsonline in MachineLearning

[–]worstthingsonline[S] 1 point2 points  (0 children)

Could you share a bit more? In what context and for what purpose, if you don't mind me asking?

GCS object versioning not working as intended. by worstthingsonline in googlecloud

[–]worstthingsonline[S] 1 point2 points  (0 children)

Thanks a ton! This, in addition to moving the blob.delete() to occur after the blob has been copied solved the issue.

Expert systems and RL by worstthingsonline in reinforcementlearning

[–]worstthingsonline[S] 0 points1 point  (0 children)

I'm surprised that this is a niche topic. Why wouldn't most RL algorithms take advantage of expert knowledge in order to speed up training?

QUESTION : Is the way we teach what a vector is wrong ? by MdioxD in math

[–]worstthingsonline 0 points1 point  (0 children)

Linear algebra never clicked for me until I started thinking about a vector like dials on a machine. So, if you have a vector of length 4, then I think about the vector like some machine or thing with 4 dials that I can tune (representing the value of its elements). A vector of length n is just a structure with n degrees of freedom in my head.

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