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10min chapter
DR. JEFF BECK - THE BAYESIAN BRAIN
Machine Learning Street Talk (MLST)
Bayesian Approach to Multi-Agent Systems and Gradient-Free Learning
This chapter explores the challenges of using a Bayesian approach to building multi-agent systems, as well as the concept of tractable Bayesian inference for large models and the use of gradient-free learning. It highlights the similarities between transformers and a specific brain model, and discusses the potential advantages of gradient-free learning.
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