Machine Learning Evolution
The landscape of machine learning has dramatically shifted over the past six years, with GPUs gaining popularity and new hardware options emerging. A growing fragmentation among models and frameworks has prompted the exploration of a common intermediate representation for optimizing and deploying machine learning models. This discussion highlights the intersection of high-performance linear algebra, approximate computing, and the development of machine learning compilers, shedding light on a crucial yet often overlooked aspect of the field.In this clip
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Practical AI
Apache TVM and OctoML
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