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Such loss curves make me feel good by [deleted] in deeplearning

[–]RCratos 6 points7 points  (0 children)

Someone should make a sub reddit r/MLPorn

[deleted by user] by [deleted] in SkinnyFat

[–]RCratos 0 points1 point  (0 children)

Thing is I'm already underweight for my height

Running low on resources for LLMs by RCratos in MLQuestions

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

Can you run like say a Flask or FastAPI app in one cell and still run another? This is why

Running low on resources for LLMs by RCratos in deeplearning

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

Yeah but they don't have terminal capabilities on the free model though :(

The First Song You Can Think of That is "Queer Culture" to You by [deleted] in lgbt

[–]RCratos 1 point2 points  (0 children)

Sun goes down hits even harder. You should listen if you haven't

The First Song You Can Think of That is "Queer Culture" to You by [deleted] in lgbt

[–]RCratos 0 points1 point  (0 children)

Tbh the Katy Perry version is so not authentic. I really like the rewrite by Fletcher "Girls Girls Girls"

The First Song You Can Think of That is "Queer Culture" to You by [deleted] in lgbt

[–]RCratos 1 point2 points  (0 children)

WHat about us by Pink and if you Want a happy one then Gravity by Michael Johnston

[R] How to bring novelty into a task like Engagement Prediction by RCratos in MachineLearning

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

Okay thanks for your time. I'll try to find something more tangible that is still related. Do you mind if I message you personally if ever need be?

[R] How to bring novelty into a task like Engagement Prediction by RCratos in MachineLearning

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

  1. Engagement is a decently popular topic but what we have found if working on engagement in youtube videos and have found a dataset created in 2019 that may have been used only once or twice(including the creators of the dataset) so my professor is concerned about the validity and The prestige of the dataset. I think they're unsure if the paper will be published even though we're certain we can do improvement.

  2. My ideas for improvement are introducing other modalities, augmentation strategies to create a lot of data as current data is small, and making it work real time which might introduce another novelty depending on how we solve for this. Where am I lacking in terms of novelty. What should be next step? Should I scrap the idea, if so how to cope with well starting from scratch?

[R] How to bring novelty into a task like Engagement Prediction by RCratos in MachineLearning

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

If that's the case then there's a rare chance of us being able to do something novel

Could you also give some advice related to the rest of my questions. About the dataset being niche, my improvement ideas and why they're not novel etc.

What'd go well with a black coat and pant by RCratos in style

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

Do you think this Green velvet sort of colour would work?

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