KV caching in LLMs, clearly explained (with visuals):

To make big investments in scaling robotic learning, we need to understand what the scaling laws for robotics data actually are.

Claude Opus 4.1 Plays Pokemon!

Normalization layers are ubiquitous in modern neural networks and have long been considered essential. This work demonstrates that Transformers without normalization can achieve the same or better...

I am excited to open-source PipelineRL - a scalable async RL implementation with in-flight weight updates. Why wait until your bored GPUs finish all sequences? Just update the weights and continue inference!

Code: https://t.co/AgEyxXb7Xi
Blog: https://t.co/n4FRxiEcrr