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Exploring Model Serving Frameworks and Simplifying Deployment
This chapter explores the nuances of model serving frameworks by comparing a proprietary solution with Trust, an open-source alternative. The conversation focuses on how Trust simplifies the containerization of Python code and discusses various frameworks in the competitive landscape of machine learning deployment.