Adding Benchmaxxer Repellant to the Open ASR Leaderboard
This post reports on anti-benchmaxxer measures introduced to the open ASR leaderboard, featuring updates from contributors including Eric Bezzam, Steven Zheng, Eustache Le Bihan, Sergio Bruccoleri, and Jeanine Sinanan-Singh from the Appen AI Research team, linked to the Hugging Face platform.
Building Blocks for Foundation Model Training and Inference on AWS
Foundation model development today scales across three channels: pre-training, post-training, and test-time compute, with AWS showing how its infrastructure—accelerators, networking, and storage—works with open-source tools like PyTorch, Kubernetes, and Prometheus to enable efficient training and inference.
