research
∙
11/09/2022
Efficiently Scaling Transformer Inference
We study the problem of efficient generative inference for Transformer m...
share
research
∙
04/05/2022
PaLM: Scaling Language Modeling with Pathways
Large language models have been shown to achieve remarkable performance ...
research
∙
03/31/2022
Scaling Up Models and Data with and
Recent neural network-based language models have benefited greatly from ...
research
∙
11/07/2020
Exploring the limits of Concurrency in ML Training on Google TPUs
Recent results in language understanding using neural networks have requ...
research
∙
01/13/2020
Reformer: The Efficient Transformer
Large Transformer models routinely achieve state-of-the-art results on a...
research
∙
06/13/2019
