PyTorch is not only used for research but also for production purposes, with billions of requests being served and trained daily.
The PyTorch community has made remarkable strides in recent times. Last year, contributors of PyTorch also introduced BetterTransformer inference optimizations for transformer models such as GPT, which have significantly improved the performance of these models. This collection of highly optimized code is designed specifically to accelerate transformer models in production workloads, allowing for more accurate and efficient data generation. This is an exciting development that has the potential to revolutionize many industries soon.
