OctoML: Automated Deep Learning Engineering with Jason Knight and Luis Ceze
Software Engineering Daily
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
The post OctoML: Automated Deep Learning Engineering with Jason Knight and Luis Ceze appeared first on Software Engineering Daily.
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