is helpful for understanding GPs and sampling functions from the distribution over the function space they describe, we in practice conduct GP inference using the kernel, through eqns. and . E.g. τ (x) is a vector of infinite dimension in the case of the RBF kernel, making the view of GPs in eqn. unfriendly for computations.