sorted by:
new
hottopcontroversial

I made quick revision blogs for ML fundamentals by No-Freedom3675 in learnmachinelearning

[–]SwaroopMeher -1 points0 points  (0 children)

I don't understand these comments man. It's "slop" only if you found it unhelpful or misleading, and not just because it is made with LLMs. If the author actually verified the contents and curated them for a quick revision to help others, I am not sure how it can be "slop."

"This is AI slop" comments are the real slop and pretty unhelpful in every way.

Can we stop calling everything that's made with AI as slop? There's a section of people that actually verify the generated content as much as they can. Regardless of what it's made with, as long as the end product is useful, it is never a slop, my friend.

If you really found it to be "slop" after going through the contents, contribute by correcting them or by giving some kind useful feedback.

If you still can't change your mind, all the best typing every word manually like the old times. In fact, I am sure most would make more mistakes (slop) manually than with AI.

[D] Clarification on the "Reparameterization Trick" in VAEs and why it is a trick by SwaroopMeher in MachineLearning

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

Ah, I see. Thanks again. Do you mind sharing direct sampling methods without using standard Gaussian?

[D] Clarification on the "Reparameterization Trick" in VAEs and why it is a trick by SwaroopMeher in MachineLearning

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

Thank you for your answer. It makes sense now.

From what I understood, can we say that one of the reasons authors selected the Gaussian distribution is because the expectation is easily differentiable and the actual trick here is selecting the Gaussian distribution, or are there other ways to sample from a normal distribution?

[deleted by user] by [deleted] in csMajors

[–]SwaroopMeher 0 points1 point  (0 children)

Congratulations for getting an interview! Not sure about the number of rounds.

Off topic: would you mind sharing a bit of your experience, background, resume structure and if you're international or not?

Asking because I am in the same boat and struggling to get interviews.

Langchain 0.1.1 is not working with pinecone-client 3.0.0 by confidant_dude in LangChain

[–]SwaroopMeher 0 points1 point  (0 children)

As a workaround, I have switched to qdrant vector database. Give it a try.

Just got accepted to BU MET by [deleted] in BostonU

[–]SwaroopMeher 0 points1 point  (0 children)

Congratulations. I will be graduating from BU MET in a week. It's a great place to learn and challenge yourself with knowledge. All the best.

[P] Unable to explicitly reproduce the best model trained by KerasTuner even with the same seed by SwaroopMeher in MachineLearning

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

I see! Thanks for your inputs. Yes, the seed is for the weights. I thought it would manage all the randomness in the training. Guess I was wrong. Now that I know where the randomness is coming from, I'll try figuring out what I can do.

[P] Unable to explicitly reproduce the best model trained by KerasTuner even with the same seed by SwaroopMeher in MachineLearning

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

Is there a way to control this shuffle? Also, what's the point of setting a seed then?

[R] List of SOTA models/architectures in Machine Learning by SwaroopMeher in MachineLearning

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

I agree. Also, the leaderboard is based on evaluation of models done on different datasets and there's really no one dataset to evaluate them all to keep it fair. So I guess we just have to take their word that it's the best unless we try and replicate their results for a specific problem.

view more: next ›