Large Language Models (LLMs), despite their recent impressive
accomplish...
Large Language Models (LLMs) and other large foundation models have achi...
The high computational and memory requirements of large language model (...
Deploying deep learning models on various devices has become an importan...
Scientists increasingly rely on Python tools to perform scalable distrib...
Training large neural network (NN) models requires extensive memory
reso...
The increasing size of neural network models has been critical for
impro...
High-performance tensor programs are crucial to guarantee efficient exec...
Modern deep learning applications urge to push the model inference takin...
We introduce a learning-based framework to optimize tensor programs for ...
There is an increasing need to bring machine learning to a wide diversit...
In this paper we consider the problem of single monocular image depth
es...
We introduce MAgent, a platform to support research and development of
m...