Tractable Bayesian Inference

Jeff discusses the concept of tractable Bayesian inference for large models, emphasizing the benefits of gradient-free learning. By taking massive steps in parameter space, the approach allows for efficient exploration and optimization, challenging traditional gradient-based methods.