Machine learning graphics
You can go and check out the new Hugging Face course on transformer models…
You might have guessed that this post could go a variety of directions. It would be easy enough to focus on how hard it is to get new graphics cards for machine learning or anything else really. The silicon shortage is real and makes me want to throw shade at cryptocurrency mining, but I’m not going to spend time on that analysis. You can get that coverage all over the internet.[1] What I wanted to target this week was what exactly people are doing related to graphics using machine learning as a technology. Yep ---- my interest was a purely technical question about what people are doing graphics wise in the machine learning space.
Maybe the logical place to start here is TensorFlow graphics.[2] You can quickly go over to the TensorFlow site and learn about how to use the graphics API.[3] Some of the in browser stuff people have done with webcams and other basic deployments to show how graphics can be used to mimic behavior or make things dance have become ubiquitous, but that does not make it any less interesting at face value.
Links and thoughts:
Check out this video from Yannic this week, “[ML News] De-Biasing GPT-3 | RL cracks chip design | NetHack challenge | Open-Source GPT-J”
I enjoyed the Vergecast podcast this week
Did you want to know more about PyTorch enterprise on Azure?
Top 5 Tweets of the week:
Footnotes:
[1] Here is some coverage from the Economist about the great graphics card shortage
[3] https://www.tensorflow.org/graphics/
What’s next for The Lindahl Letter?
Week 23: Fairness and machine learning
Week 24: Evaluating machine learning
Week 25: Teaching kids ML
Week 26: Machine learning as a service
Week 27: The future of machine learning
I’ll try to keep the what’s next list forward looking with at least five weeks of posts in planning or review. If you enjoyed reading this content, then please take a moment and share it with a friend.