https://ai-blog.noorshomelab.dev/tags/reproducible-ml/Recent content in Reproducible ML on AI VOIDHugoenWed, 28 Jan 2026 00:00:00 +0000https://ai-blog.noorshomelab.dev/metadataflow-guide-2026/04-data-artifacts-metadata/Wed, 28 Jan 2026 00:00:00 +0000https://ai-blog.noorshomelab.dev/metadataflow-guide-2026/04-data-artifacts-metadata/<h2 id="introduction-to-data-artifacts--metadata-management">Introduction to Data Artifacts &amp; Metadata Management</h2> <p>Welcome back, future MLOps wizard! In our previous chapters, we set up our environment and got a taste of how Meta AI&rsquo;s powerful new library, let&rsquo;s call it <code>MetaMLFlow</code> (a hypothetical name for Meta&rsquo;s open-source dataset management library), helps us organize our datasets. But what happens after you&rsquo;ve prepared your data? How do you keep track of different versions, transformations, and the models trained on them? That&rsquo;s where <strong>Data Artifacts &amp; Metadata Management</strong> comes in!</p>