Pathway’s brain-inspired architecture development on Amazon SageMaker HyperPod

Extracto de la fuente

As AI systems take on more complex tasks, much of the industry’s progress has come from increasing model scale, training data, context length, and inference-time computation. Instead of externalizing reasoning work as a chain-of-thought (generating extra tokens sequentially and feeding them back into later steps), Pathway’s brain-inspired BDH (Dragon Hatchling) performs reasoning in latent space. It learns from examples and refines a solution without generating an intermediate text trace. BDH…