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Apache TVM and OctoML

Practical AI

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Navigating the Challenges of Model Optimization for Edge Computing

This chapter explores the challenges of deploying machine learning models in edge computing, emphasizing the constraints of memory and computational power. It highlights tools like Octomizer and advanced techniques such as sparsity and model compression that enable efficient use of larger models on smaller devices.

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