[R] DeepMind: Using small-scale proxies to hunt and solve large-scale transformer training instabilities

Training giant AI models like GPT-3 requires large resources - thousands of GPUs running for months. As a solo researcher without access to that kind of scale, I can't easily reproduce experiments and findings from papers on huge models.

But a new paper from DeepMind shows you can recreate and study training instabilities seen in massive models by using small ones.

The key is **increasing the learning rate**:

* This reproduces "attention collapse" where the model focuses on just a …

ai models deepmind gpt gpt-3 gpus hunt kind machinelearning paper proxies researcher resources running scale shows small solve training transformer