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Stanford Mlsys Seminars
1:06:44
Stanford MLSys Seminar Episode 5: Chip Huyen
Stanford MLSys Seminars
58K views
57:19
Efficiently Modeling Long Sequences with Structured State Spaces - Albert Gu | Stanford MLSys #46
Stanford MLSys Seminars
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58:13
How Fine-tuning Open Source LLMs Solves GenAI Productionization - Piero Molino | Stanford MLSys #94
Stanford MLSys Seminars
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1:05:06
Deep Recommender Systems at Facebook feat. Carole-Jean Wu | Stanford MLSys Seminar Episode 24
Stanford MLSys Seminars
20K views
1:06:34
Teaching LLMs to Use Tools at Scale - Shishir Patil | Stanford MLSys #98
Stanford MLSys Seminars
4.9K views
1:16:48
Notes on AI Hardware - Benjamin Spector | Stanford MLSys #88
Stanford MLSys Seminars
4.2K views
1:00:38
Stanford MLSys Seminar Episode 1: Marco Tulio Ribeiro
Stanford MLSys Seminars
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1:00:33
Declarative Machine Learning with Ludwig feat. Piero Molino | Stanford MLSys Seminar Episode 13
Stanford MLSys Seminars
1.9K views
55:01
Scaling Up “Vibe Checks” for LLMs - Shreya Shankar | Stanford MLSys #97
Stanford MLSys Seminars
2.6K views
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Video Analysis in Hours, Not Weeks feat. Kayvon Fatahalian | Stanford MLSys Seminar Episode 8
Stanford MLSys Seminars
2.9K views
11:49
Stanford MLSys Seminar Episode 0: ML + Systems
Stanford MLSys Seminars
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1:01:23
The Missing Link in ML Infrastructure feat. Josh Tobin | Stanford MLSys Seminar Episode 11
Stanford MLSys Seminars
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Training LLMs at Scale - Deepak Narayanan | Stanford MLSys #83
Stanford MLSys Seminars
7.6K views
1:11:17
Large Language Models for Program Optimization - Osbert Bastani | Stanford MLSys #91
Stanford MLSys Seminars
1.8K views
56:32
Monarch Mixer: Making Foundation Models More Efficient - Dan Fu | Stanford MLSys #86
Stanford MLSys Seminars
3.8K views
58:21
“Boring” Problems in Distributed ML feat. Richard Liaw | Stanford MLSys Seminar Episode 28
Stanford MLSys Seminars
1.6K views
58:24
Machine Learning Everywhere feat. Pete Warden | Stanford MLSys Seminar Episode 31
Stanford MLSys Seminars
899 views
59:21
The Next 100x - Gavin Uberti | Stanford MLSys #92
Stanford MLSys Seminars
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