Train and Publish LLMs with MosaicML and W&B

What to expect?

MosaicML is setting new benchmarks for making large language model (LLM) training approachable and affordable for organizations of all sizes. Most of us understand that ML is an iterative process that requires a great deal of experimentation. Monitoring, tracking, and performance are critical for keeping experiments organized and making insights easily accessible. W&B’s new Model Registry is a central system of record for your models, making it easy to organize your models and track them as they move from experimentation into staging and production. Model Registry naturally complements MosaicML’s existing W&B integration. In this demo, we'll showcase MosaicML’s ease of use and scalability, and how W&B’s new model registry makes it easier than ever to train, share, and re-use LLMs.