👉 Unscaling, in the context of computing and artificial intelligence (AI), refers to a process where an AI system is made smaller so that it can be trained on a smaller dataset or model. This can be achieved by removing unnecessary layers or units from the neural network or machine learning model, such as reducing its number of parameters or using fewer computational resources. Unscaling typically involves adjusting the weights and biases in the model to reduce computational complexity without significantly compromising the performance or accuracy of the system. This approach
