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post |
Machine Learning - Software Engineering Daily |
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assets/images/pods/ml_software_eng_daily.webp |
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 “state-of-the-art” 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 |
English |
2024-05-02 02:00:21 -0700 |
17 |
43 mins to 57 mins |
inactive |