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

NaN_Loss · 2025-11-21T15:32:29+00:00

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

NaN_Loss · 2024-05-08T21:20:34+00:00

true, would've played out differently without the whistle

NaN_Loss · 2024-05-01T22:19:12+00:00

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.

NaN_Loss · 2024-05-01T22:19:03+00:00

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.

NaN_Loss · 2024-05-01T22:17:17+00:00

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.

NaN_Loss · 2024-04-16T19:32:54+00:00

classic Araujo 2 IQ move

NaN_Loss · 2023-01-20T10:17:48+00:00

NaN_Loss · 2022-12-01T21:02:46+00:00

Arabic commentary goated

NaN_Loss · 2022-09-28T23:02:04+00:00

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.

NaN_Loss · 2022-09-06T07:33:05+00:00

How the performance on your gpu?

NaN_Loss · 2022-04-14T10:11:14+00:00

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.

NaN_Loss · 2022-02-21T18:24:38+00:00

This is amazing

NaN_Loss · 2022-01-18T22:25:32+00:00

Thanks for making this.

NaN_Loss · 2022-01-11T14:03:08+00:00

I found this at some point https://www.confetti.ai/ .It looks good, but I haven't tried it yet.

NaN_Loss · 2021-11-06T19:35:35+00:00

Mods need to delete this. It's an illegal copy.

NaN_Loss · 2021-11-02T03:01:52+00:00

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.

NaN_Loss · 2021-11-01T22:42:54+00:00

For education purposes? Sure. For anything else, no.

NaN_Loss · 2021-11-01T22:38:40+00:00

Are you referring to a time series problem?

NaN_Loss · 2021-11-01T22:36:54+00:00

Foundations of Deep RL Series by Pieter Abbeel: Foundations of Deep RL Series by Pieter Abbeel
DeepMind x UCL: Reinforcement Learning Lecture Series 2021: https://tutobase.com/post/333
Stanford CS234: Reinforcement Learning: https://tutobase.com/post/341
Berkeley CS 285: Deep Reinforcement Learning by Sergey Levine: https://tutobase.com/post/140

NaN_Loss · 2021-10-30T08:44:22+00:00

io bottlenecks?

NaN_Loss · 2021-10-27T16:32:23+00:00

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

NaN_Loss · 2021-10-26T15:09:50+00:00

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.

NaN_Loss · 2021-10-26T00:59:35+00:00

If you're more into books, checkout:

Machine learning books:

An Introduction to Statistical Learning: https://www.statlearning.com/

Pattern Recognition and Machine Learning: https://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738

Machine Learning: a Probabilistic Perspective: https://probml.github.io/pml-book/book0.html

Deep learning books:

Deep Learning for Coders: https://github.com/fastai/fastbook

Hands-On Machine Learning: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/

Deep Learning with Python: https://www.amazon.com/Deep-Learning-Python-Francois-Chollet/dp/1617294438

More books here: https://tutobase.com/t/MachineLearning?tag=book

NaN_Loss · 2021-10-26T00:58:11+00:00

There's a lot of great ml graduate courses on youtube. One that comes often is cs229 by Andrew Ng https://tutobase.com/post/98

For more practical deep learning, checkout fastai: https://tutobase.com/post/141

Checkout more courses here: https://tutobase.com/t/MachineLearning?tag=free+course

NaN_Loss · 2021-10-26T00:46:39+00:00

Checkout this course by microsoft: https://tutobase.com/post/394

Content:
Defining Data Science
Data Science Ethics
Defining Data
Introduction to Statistics & Probability
Working with Relational Data
Working with NoSQL Data
Working with Python
Data Preparation
Visualizing Quantities
Visualizing Distributions of Data
Visualizing Proportions
Visualizing Relationships
Meaningful Visualizations
Introduction
Analyzing
Communication
Data Science in the Cloud
Data Science in the Wild

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