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DTSTART:20240331T010000
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DTSTART;TZID=Europe/Paris:20240416T170000
DTEND;TZID=Europe/Paris:20240416T200000
DTSTAMP:20260430T010752
CREATED:20240326T061637Z
LAST-MODIFIED:20240406T152223Z
UID:1703-1713286800-1713297600@zurich-nlp.ch
SUMMARY:ZurichCV Meetup #2
DESCRIPTION:Our computer vision series is continuing strong: ZurichCV #2 on April 16th at 17:00 will feature an in depth talk by Lucas Beyer from Google Brain/DeepMind about structured computer vision in the age of LLMs\, specifically: \n“Structured output tasks in computer vision are tasks which require more “complicated” output than just a probability\, and need to be “globally consistent”. Examples are detection\, (panoptic) segmentation\, colorization\, tracking\, and many more. Classically\, communities have formed around each such task\, with their very specialized approaches. We take a step back\, understand why\, and devise a general solution\, that is surprisingly similar to LLMs\, hence bringing the communities closer together. Papers covered: https://arxiv.org/abs/2205.10337 and https://arxiv.org/abs/2302.08242.” \nRSVP soon. See you there! \n 
URL:https://zurich-nlp.ch/event/zurichcv-meetup-2/
LOCATION:OAT ETH Zürich (14th Floor)\, Andreasstrasse 5 (14th floor)\, Zurich\, 8050
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DTSTART;TZID=Europe/Paris:20240425T180000
DTEND;TZID=Europe/Paris:20240425T200000
DTSTAMP:20260430T010752
CREATED:20240401T061424Z
LAST-MODIFIED:20240426T082726Z
UID:1769-1714068000-1714075200@zurich-nlp.ch
SUMMARY:ZurichNLP Meetup #9
DESCRIPTION:We’re happy to announce ZurichNLP #9 on April 25th with the following speakers: \n\nLewis Tunstall (MLE @ HuggingFace) on How to Align Your LLM\nVilém Zouhar (PhD @ ETH Zurich) on Pride and BPE: How We Solved Tokenization but Got It Wrong\n“Tokenization is present in almost all NLP pipelines\, but rarely examined mathematically. We formalize and show boundaries to the most popular tokenization algorithm\, Byte-Pair Encoding. Then\, with information theory\, we show what makes some tokenization better than others and how to use this as a metric before training your expensive models. Lastly\, we admit how we got this hypothesis wrong.”\n\n  \nSlides from Lewis’s presentation can be found here! \nRSVP soon as spots are limited.
URL:https://zurich-nlp.ch/event/zurichnlp-meetup-9/
LOCATION:OAT ETH Zürich (14th Floor)\, Andreasstrasse 5 (14th floor)\, Zurich\, 8050
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