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SUMMARY:Introduction to LLMs - An overview ST-LE-2026-18
DTSTART:20260526T080000Z
DTEND:20260526T100000Z
DTSTAMP:20260513T084800Z
UID:indico-event-198@events.gfbio.org
CONTACT:data-train@vw.uni-bremen.de\;+49 (421) 218 60043
DESCRIPTION:Speakers: Susana Simancas Giraldo (Alfred-Wegener-Institut)\n\
 nBackground\nLLMs have transformed AI by enabling machines to understand a
 nd generate human-like language\, driving new capabilities across multiple
  fields. They are now essential tools for information processing\, automat
 ion\, and decision-making in science and everyday applications\, making th
 eir understanding important not only for researchers but for anyone intera
 cting with AI-driven technologies\, as they become more common and part of
  our daily lives.\nLearning contents\nThis course provides an introduction
  to large language models (LLMs)\, combining intuition on key theoretical 
 concepts with an overview of their main capabilities. We begin by examinin
 g how these models’ function\, covering fundamental ideas such as tokeni
 zation\, embeddings\, and the transformer architecture\, and introducing e
 ssential terminology used across the field. Further\, the lecture will sho
 wcase the usage of LLMs across use cases\, presenting the range of applica
 tions that LLMs can address. Learning about these individual language mode
 l capabilities should pave the basic introduction to problem-solving with 
 LLMs.\nLearning objectives\nBy the end of the session\, participants will 
 have a general understanding of both the internal principles and the appli
 cation landscape of LLMs\, enabling them to better assess their relevance 
 and potential use within research and data analysis contexts.\nPrior knowl
 edge\nPrograming is not a requirement but a basic notion would be helpful.
 \nTechnical requirements\nNone\n\nhttps://events.gfbio.org/event/198/
LOCATION:Room 2.2070/2.2090\, 2nd floor + Zoom (hybrid)
URL:https://events.gfbio.org/event/198/
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