inference
Artificial Intelligence
Traceability & Reproducibility Our motivation: Things can go incorrect Our solution: Traceability by design Solution design for real-time inference model: Traceability on real-time inference model: Reproducibility: Roll-back
Within the context of MLOps, traceability is the flexibility to trace the history of knowledge, code for training and prediction, model artifacts, environment utilized in development and deployment. Reproducibility is the flexibility to breed...
Artificial Intelligence
MLPerf Inference Benchmark Maintains Nvidia Lead… Trends in performance improvement across the industry
MLCommons, a man-made intelligence (AI) engineering consortium, recently showed the outcomes of 'MLPerf Inference', which measures the performance of hardware infrastructure constituting data centers, with Nvidia products showing excellent overall performance, and other corporations'...
Artificial Intelligence
Model employment: The inference comes after training, not during
Training and using models are two separate phasesYes, like an easy pencil or a fancy device. Statistical models, from easy linear regressions to deep learning models, are tools. We construct those tools for a...
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