Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo -- Roger Grosse
1:21:48
Probabilistic Inference in Language Models via Twisted Sequential Monte | Rob Brekelmans
25:02
Why do we need MCMC and how does it work? -- Ben Lambert (Oxford)
51:02
Learning at test time in LLMs
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Trustworthy LLMs — our efforts on mitigating issues regarding social bias, safety and reliability
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Ethan Fetaya - Machine learning in deep weight spaces (Heb)
1:44:31
Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
43:40
Probabilistic Programming and Bayesian Modeling with PyMC3 - Christopher Fonnesbeck
1:09:13