Discover the intricacies of model serialization and its significance in the machine learning workflow. Luis explains how Apache TVM can ingest serialized models, such as those in Onyx format, and highlights the dual methods for interfacing with TVM—either through serialized models or direct code integration. This episode sheds light on the seamless transition from model creation to deployment, emphasizing the importance of hardware targeting in the compilation process.
