<ul><li>Managing machine learning models involves juggling code, metadata, and docs.</li><li>ModelKits package models and artifacts together, aiding automation.</li><li>Integrating ModelKits with GitHub Actions automates tasks like testing and deployment.</li><li>Prerequisites include a GitHub account, container registry, KitOps, and GitHub Actions familiarity.</li><li>First, ensure Kit CLI is installed and verify the installation.</li><li>Unpack the LLAMA3 ModelKit locally to organize files and update the Kitfile.</li><li>Integrate with GitHub Actions by configuring secrets and creating a workflow file.</li><li>The workflow includes two jobs: unpacking the model and pushing it to Jozu Hub repository.</li><li>The pipeline optimizes storage by storing the ModelKit as a GitHub artifact.</li><li>Automate building, testing, and deployment with GitHub Actions and KitOps for AI projects.</li></ul>

Automating ML Pipeline with ModelKits + GitHub Actions

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