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Large Language Models for Program Optimization - Osbert Bastani | Stanford MLSys #91

Duration: 1:11:17

Monarch Mixer: Making Foundation Models More Efficient - Dan Fu | Stanford MLSys #86

Duration: 56:32

Notes on AI Hardware - Benjamin Spector | Stanford MLSys #88

Duration: 1:16:48

Training LLMs at Scale - Deepak Narayanan | Stanford MLSys #83

Duration: 55:59

Teaching LLMs to Use Tools at Scale - Shishir Patil | Stanford MLSys #98

Duration: 1:06:34

Online A/B Testing of Real-Time Event Detection Systems - David Tagliamonti | Stanford MLSys #93

Duration: 44:52

Hardware-aware Algorithms for Sequence Modeling - Tri Dao | Stanford MLSys #87

Duration: 1:19:06

The Next 100x - Gavin Uberti | Stanford MLSys #92

Duration: 59:21

Text2SQL: The Dream versus Reality - Laurel Orr | Stanford MLSys #89

Duration: 57:05

Scaling Up “Vibe Checks” for LLMs - Shreya Shankar | Stanford MLSys #97

Duration: 55:01

How Fine-tuning Open Source LLMs Solves GenAI Productionization - Piero Molino | Stanford MLSys #94

Duration: 58:13

Multimodal Reasoning: PaLM-E & Gemini - Aakanksha Chowdhery | Stanford MLSys #90

Duration: 52:56

Improving Transfer and Robustness of Supervised Contrastive Learning - Dan Fu | Stanford MLSys #62

Duration: 56:53

Deep Recommender Systems at Facebook feat. Carole-Jean Wu | Stanford MLSys Seminar Episode 24

Duration: 1:05:06

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