Implicit Bayesian Inference in Large Language Models
This intriguing paper kept me thinking long enough for me to I decide it’s time to resurrect my blogging (I started writing this during ICLR review period, and realised it might be a good idea to wait until that’s concluded) Sang Michael Xie, Aditi Raghunathan, Percy Liang and Tengyu Ma (2021) An Explanation of In-context Learning as Implicit Bayesian Inference I liked this paper because it relates to one of my favourite concepts and ideas: exchangeability. And it […]
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