Post by Martin Seeger
One distinction is essential: training is not inference. During training, a model learns its parameters from enormous datasets through repeated computation across many accelerators. This is where mos…
One distinction is essential: training is not inference. During training, a model learns its parameters from enormous datasets through repeated computation across many accelerators. This is where mos…