Improve efficiency of neural network training with algorithmic methods that deliver speed, boost quality and reduce cost.
The MosaicML Composer is an open source deep learning library purpose-built to make it easy to add algorithmic methods and compose them together into novel recipes that speed up model training and improve model quality. This library includes 20 methods for computer vision and natural language processing in addition to standard models, datasets, and benchmarks
We modify the training algorithm to improve training speed and model quality
Improve accuracy, perplexity, and other metrics that matter to you
Find the most cost effective way to run your training