面试必刷：大模型为什么要设计 Feed-Forward Network 与 Attention 分开？

Dive into the fascinating world of neural networks as we explore the intricacies of feed-forward architectures! This engaging discussion unravels how signals flow seamlessly from the input layers through hidden layers to the output, embodying a simplified model of brain functions. But there’s more to it—did you know that the human brain operates in both feed-forward and bidirectional modes? Discover how this complexity is mirrored, albeit simplified, in artificial networks and why understanding