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DTSTART:20261101T010000
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DESCRIPTION:Description: In this talk\, we dive into techniques for accelerating inference in transformer-based models by optimizing their linear layers. We'll explore the role of quantization in reducing computation and memory overhead\, and discuss how custom\, hardware-friendly kernels can unlock significant speedups.\n\nDr. Hicham Badri is a research scientist specializing in computer vision and large language models. He holds a PhD from Universite de Bordeaux/INRIA. During his doctoral studies\, he focused on developing efficient optimization methods for machine learning applications\, earning him the AFRIF best PhD award in 2015.\n\n------\n\nCreate your own Add to Calendar links with addevent.com/r/a \n
X-ALT-DESC;FMTTYPE=text/html:Description: In this talk, we dive into techniques for accelerating inference in transformer-based models by optimizing their linear layers. We'll explore the role of quantization in reducing computation and memory overhead, and discuss how custom, hardware-friendly kernels can unlock significant speedups.<br><br>Dr. Hicham Badri is a research scientist specializing in computer vision and large language models. He holds a PhD from Universite de Bordeaux/INRIA. During his doctoral studies, he focused on developing efficient optimization methods for machine learning applications, earning him the AFRIF best PhD award in 2015.<br /><br />------<br /><br />Create your own Add to Calendar links with addevent.com/r/a <br>
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SUMMARY:Dr. Hicham Badri - Optimizing Linear Layers for Faster Inference (efficiency)
DTSTART;TZID=America/Los_Angeles:20250514T090000
DTEND;TZID=America/Los_Angeles:20250514T100000
DTSTAMP:20260819T112214Z
TRANSP:OPAQUE
STATUS:CONFIRMED
SEQUENCE:0
LOCATION:https://meet.google.com/wdk-yipf-zjd?hs=122&authuser=0
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