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Podcast: Software Engineering Daily
Episode: OctoML: Automated Deep Learning Engineering with Jason Knight and Luis Ceze
Description: The incredible advances in machine learning research in recent years often take time to propagate out into usage in the field. One reason for this is that such βstate-of-the-artβ results for machine learning performance rely on the use of handwritten, idiosyncratic optimizations for specific hardware models or operating contexts. When developers are building ML-powered systems to deploy in the cloud and at the edge, their goals to ensure the model delivers the best possible functionality and end-user experience- and importantly, their hardware and software stack may require different optimizations to achieve that goal.OctoML provides a SaaS prod...