Comet ML Debuts Collaborative Workspaces for Data Science and MLOps Teams
Summary
Today’s updates further empower data scientists and teams to build better models faster, while ensuring that organizations can continue to operate in an environmentally responsible manner. One of the most pressing challenges facing machine learning and artificial intelligence teams today is the difficulty of delivering quality, trained models from experiment to production. “CodeCarbon is an open source tool that estimates the amount of carbon dioxide (CO ) produced by computing resources both locally and on the cloud,” said Sasha Luccioni, postdoctoral researcher at Mila. With Comet ML’s new CodeCarbon Panel and workflow, developers will be able to incorporate those decisions directly into the experiment and model training process.” • Interactive Reports -- share and report the results of your experiments internally or externally via an intuitive and fully interactive user interface (UI) which supports fully customizable code panels. Backed by thousands of users and multiple Fortune 100 companies, Comet provides insights and data to build better, more accurate AI models while improving productivity, collaboration and visibility across teams.