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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