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@DeepMind released this GOLD a couple days back. If you ever wanted to study Transformers from scratch I think this would be that one resource you wouldn't want to miss:
What do the Vision Transformers learn? How do they encode anything useful for image recognition? In our latest work, we reimplement a number of works done in this area & investigate various ViT model families (DeiT, DINO, original, etc.).
Done w/ @ariG23498
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. @AshwiniVaishnaw why are you recruiting folks who don't have a solid technical know-how of AI systems are built at a large scale?
Stop going via only academic affiliation & look at the actual hands-on stuff (core contributions to good libs, knowledge across the AI spectrum,
For the ones that do not know, I maintain a list of resources for the people willing to learn @TensorFlow 2.0. Currently, the list looks like so & can be accessed here: github.com/sayakpaul/TF-2….
Please feel free to pass along any suggestions regarding new resources :)
New project 📢
We show how to deploy a deep learning model with Docker + Kubernetes + GitHub Actions. We show this with two promising candidates - FastAPI (for REST) and TF Serving (for gRPC).
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Fine-tuning 5B param video models should be possible with a SINGLE 24GB GPU 🍓
We're releasing CogVideoX-Factory, a repository containing memory-optimized scripts to fine-tune Cog family of video models for T2V and I2V 🧪
github.com/a-r-r-o-w/cogv…
Shubho Deepaboli!
Today, I am delighted to announce that I am joining the mighty forces at @huggingface as a Developer Advocate Engineer!
Working on ensuring developers benefit from our ML tooling is heavy-weight and full of opportunities.