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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

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

Duration: 1:19:06

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

Duration: 58:13

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

Duration: 55:59

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

Duration: 55:01

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

Duration: 57:05

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

Duration: 59:21

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

Duration: 52:56

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

Duration: 44:52

A Taxonomy of ML for Systems Problems - Martin Maas | Stanford MLSys #81

Duration: 58:29

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

Duration: 1:05:06

Foundation Models on Consumer Devices - Tianqi Chen | Stanford MLSys #85

Duration: 47:35

Democratizing Foundation Models via k-bit Quantization - Tim Dettmers | Stanford MLSys #82

Duration: 58:25

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