According to this tweet,
when gpt4 first finished training it didn’t actually work very well and the whole team thought it’s over, scaling is dead…until greg went into a cave for weeks and somehow magically made it work
So gpt-4 was kind of broken at first. Then greg spent a few weeks trying to fix it and then it somehow worked.
So why did it not work at first and how did they fix it?
I think this is an important question to the OSS community,
Maybe papers from Pangu-Sigma or other large scale MoE models can be helpfulhttps://arxiv.org/abs/2303.10845