Experiment, Evaluate and Visualize
Run experiments and chat with your co-pilot to get AI-powered insights.
Provides insights into model performance
Provides insights into model performance with comprehensive metrics, allowing you to assess and compare models for optimal results.
How it works
During training or fine-tuning, models are connected to an experiment tracker to monitor key metrics that evaluate performance.
These metrics give you detailed visibility into each model’s strengths, weaknesses, and improvement areas, ensuring seamless model evaluation.
Why this is different?
Leverage MLFlow within a fully integrated platform to track model performance seamlessly in one place. Access AI-powered insights on evaluation results and performance trends, all directly from the same platform for a streamlined, data-driven workflow.
Meet your co-pilot
Hey hey, Manchie here, are you ready to change this data-science thing and be more productive!
Build AI with AI and go from prototype to deployment in days
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