Roy Frostig

@froystig.bsky.social

research scientist at google deepmind. co-author of JAX (https://github.com/jax-ml/jax). https://cs.stanford.edu/~rfrostig

Training our most capable Gemini models relies heavily on our JAX software stack+Google's TPU hardware platforms. If you want to learn more, see this awesome book "How to Scale Your Model": jax-ml.github.io/scaling-book/ Put together by several of my Google DeepMind colleagues listed below 🎉.

@jacobaustin123.bsky.social · 2y ago

Making LLMs run efficiently can feel scary, but scaling isn’t magic, it’s math! We wanted to demystify the “systems view” of LLMs and wrote a little textbook called “How To Scale Your Model” which we’re releasing today. 1/n