Tutorial: Automate Data Validation and Model Monitoring Pipelines with DVC and Evidently
Ensuring your machine learning models remain precise and efficient as time progresses, and verifying that your data consistently reflects the real-world scenario. Read more.
Panel Discussion: Regulation and the need for Reproducibility and Standards in AI/ML
Webinar | Wednesday, March 13th | 11 am ET
Data Version Control
– and much more –
for the GenAI era
Free and open source, forever.
Manage and version images, audio, video, and text files in storage and organize your ML modeling process into a reproducible workflow.
GenAI data chain
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Data and model versioning
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Explore and enrich annotated datasets with custom embeddings, auto-labeling, and bias removal at billion-file scale — without modifying your data.
Connect to versioned data sources and code with pipelines, track experiments, register models — all based on GitOps principles.
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DVCX and DVC: Better Together
Build the datasets you need without modifying your data sources. Create pipelines that connect your versioned datasets, code, and models together for effective experiment tracking the GitOps way.
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