3 ms·

This doesn't contradict anything I have written. The average technical user will be unable to train this exact model (not to mention the supposed future more po

• angusturner 4y ago
  That just feels like such a pessimistic forecast to me. Of course, the current trajectory of improvements in model efficiency and better commercial GPUs / ML-accelerators may hit a wall. But I would not be surprised if this was trainable on a commercial GPU at home within that time. But I think another important trend that we are seeing is that you don't need to train these models from scratch. Open-source "foundation models" means that you can usually get away with the much easier task of fine-tuning, as to not throw away / re-learn everything that these large models have already fit. Edit: I initially said 2-5 years, but on more reflection this does seem optimistic (for training from scratch).