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In Lecture 15, guest lecturer Song Han discusses algorithms and specialized hardware that can be used to accelerate training ... Lecture by Vivienne Sze in January 2020, part of the MIT Tim Dettmers (PhD candidate, University of Washington) presents "8-bit Methods for MosaicML's addition to Databricks will provide users with the most state-of-the-art large language model (LLM) training platform in ... Fast growth of the computation cost associated with training and testing of 03/01/22 Dr. Deepak Narayanan, Microsoft Research "
This month we are thrilled to have Prasanna Balaprakash from the Argonne National Laboratory speak with us on
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8-bit Methods for Efficient Deep Learning with Tim Dettmers
Democratizing Foundation Models via k-bit Quantization - Tim Dettmers | Stanford MLSys #82
Data + AI Summit Keynote, Wednesday Part 4 - Democratizing LLMs with MosaicML and Databricks
Building Efficient Deep Learning Systems - Pete Warden
Workshop: Democratizing Deep Learning with Commodity Hardware: How to Train Large Deep Learning ...
How to Obtain and Run Light and Efficient Deep Learning Networks
![[REFAI Seminar 03/01/22] Resource-Efficient Execution of Deep Learning Computations](https://i0.wp.com/i.ytimg.com/vi/FMNUhYMz77M/mqdefault.jpg?resize=320,180)
