Large language models are commonly trained on a mixture of filtered web ...
The crystallization of modeling methods around the Transformer architect...
Alternatives to backpropagation have long been studied to better underst...
Large pretrained Transformer language models have been shown to exhibit
...
Access to large pre-trained models of varied architectures, in many diff...
Recent work has identified simple empirical scaling laws for language mo...
We introduce LightOn's Optical Processing Unit (OPU), the first photonic...
Optical Processing Units (OPUs) – low-power photonic chips dedicated to
...
We propose a new defense mechanism against adversarial attacks inspired ...
The scaling hypothesis motivates the expansion of models past trillions ...
Despite being the workhorse of deep learning, the backpropagation algori...
As neural networks grow larger and more complex and data-hungry, trainin...
The backpropagation algorithm has long been the canonical training metho...