6 months since GPT-4 release
Sep. 14th, 2023 11:30 pm![[personal profile]](https://www.dreamwidth.org/img/silk/identity/user.png){kind=small}
dmmA good way to mark this occasion is to try to read a new paper which seems to be a major breakthrough in understanding and harnessing the magic of Transformers:
"Uncovering mesa-optimization algorithms in Transformers"
"Uncovering mesa-optimization algorithms in Transformers"
"we demonstrate that minimizing a generic autoregressive loss gives rise to a subsidiary gradient-based optimization algorithm running inside the forward pass of a Transformer. This phenomenon has been recently termed mesa-optimization"
"Moreover, we find that the resulting mesa-optimization algorithms exhibit in-context few-shot learning capabilities,
independently of model scale. Our results therefore complement previous reports characterizing the
emergence of few-shot learning in large-scale LLMs"
independently of model scale. Our results therefore complement previous reports characterizing the
emergence of few-shot learning in large-scale LLMs"
