Sam Altman mentioned that GPT4 is actually super difficult to work with. So I guess it simply isn't as straight forward as pushing in a prompt at the front and getting tokens out the back. Anything further would be speculation, but there must be something.
LocalLLaMA
Community to discuss about Llama, the family of large language models created by Meta AI.
He's just alluding to the fact that most enterprise customers are too stupid to use base models as they expect to be interacting with a human-like dialogue-driven agent or chatbot rather than a supercharged text completion engine. It's a shame given that, used properly, the GPT-4 base model is far superior to the lobotomized version made generally available through the API.
According to https://openai.com/research/gpt-4 they were able to predict GPT4 performance while still training it, so this is contradiction to this tweet.
Predicting the loss is very different from predicting real world abilities, they are able to top the former, not the latter.
Predicting the future loss once you’re already 10% into training is fairly trivial. Predicting the actual abilities though is not.
Much more likely: the story is apocryphal, or is at least, highly exaggerated.
Maybe papers from Pangu-Sigma or other large scale MoE models can be helpfulhttps://arxiv.org/abs/2303.10845
Also, what is the location and Wi-Fi connectivity of the cave?
It's like when Tony Stark was in a cave and made a prototype Ironman suit.
They shot a text to Jensen over at Nvidia and he gave them is contact from a few galaxies over. And the nice beings walked them through it.
These are stories, 1 man solve it all , just the right timing by the way with all this opanai saga
and greg found it without asking to gpt4