Institute for Pure & Applied Mathematics (IPAM)
Probabilistic Thinking in Language and Code
Explore the intersection of Bayesian models and LLMs, examining how natural and programming languages serve as languages-of-thought for human-like cognitive representations and reasoning.
YouTube50 minutesSelf-pacedFree video
Center for Language & Speech Processing(CLSP), JHU
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
Explore advanced probabilistic inference techniques for Large Language Models using Sequential Monte Carlo methods, focusing on safety, capability enhancement, and evaluation frameworks.
YouTube1 hour 1 minuteSelf-pacedFree video