AI Briefing#tensorflow
The latest AI and developer news about #tensorflow, with the original source and a short summary.
The latest AI and developer news about #tensorflow, with the original source and a short summary.
ZeroModels, a collection of pretrained models built with Keras 3, has been released and is runnable on JAX, PyTorch, and TensorFlow.
By combining HF and SR into a single model with surface-specific calibration and lightweight optimizations, Pinterest achieved better results.
Transformers models from Hugging Face can now be loaded and used directly in KerasHub.
Coupang's ML Platform standardizes everything from notebooks to deployment to make ML development and operations fast.
Google is recruiting 500 participants for the 2023 4th Machine Learning Bootcamp, offering hands-on training and hiring opportunities.
This guide walks through the end-to-end process of training a RoBERTa model from scratch using TensorFlow and TPU.
Kakaopay shared its process of comparing and optimizing frameworks to improve the consistency and performance of model serving.
By combining TensorFlow and XLA in Hugging Face's `transformers`, text generation speed can be increased by up to 100x.
This explains how to deploy Hugging Face's TensorFlow vision models using TF Serving.
Replit introduced a new Python template and a Content-Addressable cache, improving Python repl startup speed by 100x.
It explains how to optimize BERT model inference performance by leveraging the hardware and software features of Intel Xeon CPUs.
Kakao will reveal eight AI technology sessions at the @if(kakao)2021 conference, including inference 10 times faster than TensorFlow Serving and BERT training optimization.
The performance of TensorFlow models in Hugging Face Transformers has been improved, becoming up to 10% faster than Google's implementation.