Name: HDSI Seminar – Ofir Lindenbaum – Efficient Training, Fast Inference: Reducing Memory Requirements and Inference Time of Foundation Models
Start: 2026-09-08T11:00:00-07:00
End: 2026-09-08T23:00:00-07:00
Location: Halıcıoğlu Data Science Institute (HDSI), Room 123, 3234 Matthews Ln, La Jolla, CA, 92093, United States

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0 events 7 0 events, 7	1 event 8 1 event, 8 11:00 am - 11:00 pm HDSI Seminar – Ofir Lindenbaum – Efficient Training, Fast Inference: Reducing Memory Requirements and Inference Time of Foundation Models September 8 @ 11:00 am - 11:00 pm HDSI Seminar – Ofir Lindenbaum – Efficient Training, Fast Inference: Reducing Memory Requirements and Inference Time of Foundation Models Speaker: Ofir Lindenbaum Time/Date; Tuesday Sept 8th, 11:00am Location: HDSI Multipurpose Room 123 Zoom Link: http://bit.ly/HDSI-Seminars Title: Efficient Training, Fast Inference: Reducing Memory Requirements and Inference Time of Foundation Models. Abstract: Foundation models present a paradigm shift in machine learning, where it often appears that “scale is all you need” to achieve strong performance across tasks. However, […]	0 events 9 0 events, 9	0 events 10 0 events, 10	0 events 11 0 events, 11	0 events 12 0 events, 12	0 events 13 0 events, 13
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September 8

September 8 @ 11:00 am - 11:00 pm

HDSI Seminar – Ofir Lindenbaum – Efficient Training, Fast Inference: Reducing Memory Requirements and Inference Time of Foundation Models

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HDSI Seminar – Ofir Lindenbaum – Efficient Training, Fast Inference: Reducing Memory Requirements and Inference Time of Foundation Models