Red Hat OpenShift AI Demo

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In this video, Chris Chase demonstrates a typical workflow that includes creating a project, launching a Jupyter notebook with appropriate cluster resources and training a foundation model from Hugging Face with one’s own data. Once the model is fine-tuned, Chris automates the build using a data science pipeline and serves the model for use in an AI-enabled application.
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Fantastic demo! A few things could make this demo even better and allow viewers to follow along. Details about the github repo and the dependencies needed would be highly appreciated. Also any pointer to information how to customize the Jupiter notebook image would be great as well.

romankarpov