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Large Language Models and Transformers: Part 1 (FALL)

Transformers as a Computational Model

Program
Special Year on Large Language Models and Transformers, Part 1
Location

Calvin Lab auditorium

Date
Monday, Sept. 23 – Friday, Sept. 27, 2024
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Transformers, parallel computation, and logarithmic depth

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Capabilities and limitations of Transformer in sequential reasoning

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The Parallelism Tradeoff: Understanding Transformer Expressivity Through Circuit Complexity

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Emergence and grokking in "simple" architectures

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Iterated Models: Expressive Power, Learning, and Chain of Thought

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The emergence of clusters in self-attention dynamics

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Computational Benefits and Limitations of Transformers and State-Space Models

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Transformer Expressivity and Formal Logic

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Interpretability Agents

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Language Generation in the Limit

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    • Algorithms, Society, and the Law
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    • Current Long-Term Visitors
    • Research Fellows
    • Postdoctoral Researchers
    • Scientific Advisory Board
    • Governance Board
    • Industry Advisory Council
    • Affiliated Faculty
    • Science Communicators in Residence
    • Law and Society Fellows
  • Participate
    • Apply to Participate
    • Plan Your Visit
    • Location & Directions
    • Postdoctoral Research Fellowships
    • Law and Society Fellowships
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