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Utility vs Understanding: the State of Machine Learning Entering 2022
The empirical utility of some fields of machine learning has rapidly outpaced our understanding of the…
Scaling up BERT-like model Inference on modern CPU - Part 2
Back to Articles Scaling up BERT-like model Inference on modern CPU - Part 2 Published November 4, 2021…
Using & Mixing Hugging Face Models with Gradio 2.0
Back to Articles Using & Mixing Hugging Face Models with Gradio 2.0 Published May 25, 2021 Update on GitHub…
Scaling-up BERT Inference on CPU (Part 1)
Back to Articles Scaling up BERT-like model Inference on modern CPU - Part 1 Published April 20, 2021 Update…
Introducing 🤗 Accelerate
Back to Articles Introducing 🤗 Accelerate Published April 16, 2021 Update on GitHub Upvote 3 Sylvain…
The Partnership: Amazon SageMaker and Hugging Face
Back to Articles The Partnership: Amazon SageMaker and Hugging Face Published March 23, 2021 Update on GitHub…
Simple considerations for simple people building fancy neural networks
Back to Articles 🚧 Simple considerations for simple people building fancy neural networks Published…
Fit More and Train Faster With ZeRO via DeepSpeed and FairScale
Back to Articles Fit More and Train Faster With ZeRO via DeepSpeed and FairScale Published January 19, 2021…
How we sped up transformer inference 100x for 🤗 API customers
Back to Articles How we sped up transformer inference 100x for 🤗 API customers Published January 18, 2021…
Hyperparameter Search with Transformers and Ray Tune
Back to Articles Hyperparameter Search with Transformers and Ray Tune Published November 2, 2020 Update on…
Reinforcement learning with prediction-based rewards
We’ve developed Random Network Distillation (RND), a prediction-based method for encouraging reinforcement…
Learning to cooperate, compete, and communicate
Multiagent environments where agents compete for resources are stepping stones on the path to AGI. Multiagent…