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TinyML at Scale: Shaving Latency Profiles and Optimizing Quantized Models for the Edge.
For years, the machine learning narrative was dominated by a singular corporate philosophy: bigger is better. We watched in awe as tech giants built increasingly gargantuan foundational models, packing hundreds of billions of parameters into distributed data centers that consume as much electricity as small cities. But out on the operational frontlines, a completely different technological...
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