If the original values of a tensor are no longer needed in subsequent computations, augmented assignment operators can be used to reduce memory overhead by performing the operation in-place. For instance, executing X += Y directly modifies the existing memory block of tensor X with the addition results, circumventing the need to allocate a new tensor.