Fast Attention Requires Bounded Entries
Offered By: Simons Institute via YouTube
Course Description
Overview
Explore a thought-provoking lecture by Josh Alman from Harvard University on the topic of fast attention mechanisms in machine learning and their requirement for bounded entries. Delve into the intersection of sketching techniques and algorithm design as Alman presents his research findings, drawing from his paper available on arXiv. Gain insights into the challenges and constraints of implementing efficient attention mechanisms in neural networks, and understand the implications for future developments in artificial intelligence and machine learning architectures.
Syllabus
Fast Attention Requires Bounded Entries
Taught by
Simons Institute
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