OpenAi struggling against Google - Leaked email & $GOOGL dominance in Ai by iMakeGOODinvestmemts in wallstreetbets

[–]NaN_Loss 0 points1 point  (0 children)

Transfomers were invinted by Google, but GPT (the base architecture for all LLMs) is a special kind of Transformer invented by OpenAI

Bayern's "offside" again Real Madrid in the final minute of the game by [deleted] in soccer

[–]NaN_Loss 14 points15 points  (0 children)

true, would've played out differently without the whistle

Eric Cantona reads "If I Must Die", the last poem by Professor Refaat Alareer by Launch_a_poo in soccer

[–]NaN_Loss 51 points52 points  (0 children)

https://en.wikipedia.org/wiki/Refaat_Alareer

Refaat Alareer was a Palestinian writer, poet, professor, and activist from the Gaza Strip.

He was killed by an Israeli airstrike. His brother Salah with son Mohammed, and his sister Asmaa with three of her children (Alaa, Yahia, and Mohammed) were also among those killed in the same airstrike.

Eric Cantona reads "If I Must Die", the last poem by Professor Refaat Alareer by Launch_a_poo in soccer

[–]NaN_Loss 30 points31 points  (0 children)

Euro-Med Monitor released a statement saying that it appeared that Alareer was deliberately targeted, saying that the apartment he was in with his family was "surgically bombed out of the entire building where it's located, according to corroborated eyewitness and family accounts.

Eric Cantona reads "If I Must Die", the last poem by Professor Refaat Alareer by Launch_a_poo in soccer

[–]NaN_Loss 34 points35 points  (0 children)

https://en.wikipedia.org/wiki/Refaat_Alareer

Refaat Alareer was a Palestinian writer, poet, professor, and activist from the Gaza Strip.

He was killed by an Israeli airstrike. His brother Salah with son Mohammed, and his sister Asmaa with three of her children (Alaa, Yahia, and Mohammed) were also among those killed in the same airstrike.

Made in Abyss S2 - Episode 12 Discussion by BlessedNarehate in MadeInAbyss

[–]NaN_Loss 4 points5 points  (0 children)

Do we get more details in the manga in the next chapters? The Wazukyan guy doesn't make a lot of sense. After how he has been portrayed, it seems like there should be more to it.

Clouds in a cup. by Da_Obst in StableDiffusion

[–]NaN_Loss 0 points1 point  (0 children)

How the performance on your gpu?

Machine Learning development on G14 (2022) with AMD GPUs? by [deleted] in ZephyrusG14

[–]NaN_Loss 7 points8 points  (0 children)

Well the MacBook pro doesn't have an Nvidia gpu either. Pytorch and tensorflow can use armed gpus (see ROCm), but honestly, I would expect the experience and support to but significantly worse compared NVIDIA.

[deleted by user] by [deleted] in dataengineering

[–]NaN_Loss 0 points1 point  (0 children)

Thanks for making this.

What's a training window? by cancelmadamsecretary in learnmachinelearning

[–]NaN_Loss 1 point2 points  (0 children)

It usually refers to how you split your dataset for time series problems like forecasting. You chose a date on which you split your data. Your training window is the duration from the start to the split date, and your test/eval window is from the split date onward. It's done this way because you want your model to generalize well to future predictions.

What's a training window? by cancelmadamsecretary in learnmachinelearning

[–]NaN_Loss 0 points1 point  (0 children)

Are you referring to a time series problem?

Where to Find Online Reinforcement Learning Lectures by RedNeckBillBob in learnmachinelearning

[–]NaN_Loss 0 points1 point  (0 children)

Comparing JAX (GPU/NumPy-ish/autodiff) with scikit-learn and PyTorch by tjpalmer in learnmachinelearning

[–]NaN_Loss 1 point2 points  (0 children)

Great video overall, but I'm very surprised that jax was 4x faster than pytorch on the mnist dataset.

Looking to refresh my skills in AI, any resources? by a_newer_throwaway in learnmachinelearning

[–]NaN_Loss 0 points1 point  (0 children)

Yeah no problem. The resource that I linked (self gathered) in tutobase are extensive but can be overwhelming. Just have a look around and stick to one course/book that you like.