Model Optimization Process
The optimization process transforms a trained model into an executable code tailored for specific hardware, enhancing inference capabilities. This output includes a runtime that supports the model, packaged as a shared library or DLL, making it accessible through a simple API. The discussion highlights the potential of running models on low-power devices, such as Raspberry Pi, which were previously deemed unsuitable for complex models.In this clip
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Practical AI
Apache TVM and OctoML
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