It’s always the learning rates

Pre-training any kind of good LLM is very, very expensive. Thankfully, we have scaling laws. Lilian Weng of Thinky writes: Scaling laws are one of the most critical empirical findings in deep learning. The observation is simple in form: the training loss decreases predictably as we scale up model size N, dataset size D, and [ ]