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SUMMARY:Conformal symmetry\, Optimization algorithms and the Critical Phenomena
DESCRIPTION:Speaker: Ning Su\, University of Pisa \nTitle: Conformal symmetry\, Optimization algorithms and the Critical Phenomena \nAbstract: In the phase diagram of many substances\, the critical points have emergent conformal symmetry and are described by conformal field theories. Traditionally\, physical quantities near the critical point can be computed by perturbative field theory method\, where conformal symmetry is not fully utilized. In this talk\, I will explain how conformal symmetry can be used to determine certain physical quantities\, without even knowing the fine details of the microscopic structure. To compute the observables precisely\, one needs to develop powerful numerical techniques. In the last few years\, we have invented many computational tools and algorithms\, and predicted critical exponents of Helium-4 superfluid phase transition and Heisenberg magnet to very high precision.
URL:https://cmsa.fas.harvard.edu/event/collquium-3823/
LOCATION:CMSA Room G10\, CMSA\, 20 Garden Street\, Cambridge\, MA\, 02138\, United States
CATEGORIES:Colloquium
ATTACH;FMTTYPE=image/png:https://cmsa.fas.harvard.edu/media/02CMSA-Colloquium-03.08.2023.png
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SUMMARY:How to steer foundation models?
DESCRIPTION:New Technologies in Mathematics Seminar \nSpeaker: Jimmy Ba\, University of Toronto \nTitle: How to steer foundation models? \nAbstract: By conditioning on natural language instructions\, foundation models and large language models (LLMs) have displayed impressive capabilities as general-purpose computers. However\, task performance depends significantly on the quality of the prompt used to steer the model. Due to the lack of knowledge of how foundation models work\, most effective prompts have been handcrafted by humans through a demanding trial-and-error process. To reduce the human effort in this alignment process\, I will discuss a few approaches to steer these powerful models to excel in various downstream language and image tasks. \n 
URL:https://cmsa.fas.harvard.edu/event/nt-3823/
LOCATION:CMSA Room G10\, CMSA\, 20 Garden Street\, Cambridge\, MA\, 02138\, United States
CATEGORIES:New Technologies in Mathematics Seminar
ATTACH;FMTTYPE=image/png:https://cmsa.fas.harvard.edu/media/03.08.2023.png
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