Today we’re joined by Tijmen Blankevoort, a staff engineer at Qualcomm, who leads their compression and quantization research teams. In our conversation with Tijmen we discuss:
• The ins and outs of compression and quantization of ML models, specifically NNs,
• How much models can actually be compressed, and the best way to achieve compression,
• We also look at a few recent papers including “Lottery Hypothesis."
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