Model Merge Explained: Build Models without Training

We can flatten the parameters of a deep neural network into a single vector. For a large model, this vector can easily have tens of billions of dimensions. At first glance it may look like a meaningless list of numbers, but it has become clear that this vector has deep meaning as a vector. For [ ]