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BEGIN:VEVENT
UID:pretalx-cfp-B39WRH@telaviv2023.pydata.org
DTSTART;TZID=Asia/Jerusalem:20241104T104500
DTEND;TZID=Asia/Jerusalem:20241104T111500
DESCRIPTION:This talk navigates from Recurrent Neural Networks to Generativ
 e Pretrained Transformers (GPTs)\, with a primary focus on understanding a
 ttention mechanisms. We start with the building blocks: The Perceptron and
  RNN cells\, and after identifying the issues that arise with RNNs\, we de
 lve into attention mechanisms\, examining their role in translation tasks 
 and leading into a detailed dissection of self-attention. The culmination 
 is a comprehensive review of Transformer models and the GPT series\, their
  performances\, and their capacities in zero-shot\, one-shot\, and few-sho
 t learning with prompts.
DTSTAMP:20250709T214058Z
LOCATION:Red Track
SUMMARY:A Shallow Introduction to Self-Attention - Alon Oring
URL:https://telaviv2023.pydata.org/cfp/talk/B39WRH/
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