Video by MLflow via YouTube
MLflow Ambassador Shrinath Suresh continues the MLflow A–Z series with D for Dataset Tracking.
GenAI experiments are easy to reproduce only if you track versions of your training and evaluation data. Tracking experiments without those dataset versions is a huge mistake, especially because GenAI models are probabilistic. Log the training and evaluation datasets, version them, and associate those versions with your experiments.
For the full walkthrough, see Getting Started with MLflow: MLflow Dataset Tracking on the MLflow channel.
🔗 Learn more: https://www.youtube.com/watch?v=BoTbLWWV-wA&t=1s
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