Amazon S Alexa Scientists Demonstrate Bigger Ai Isn T Always Better
The biggest neural nets, as measured by their parameters or “weights,” are clocking in at over half a trillion weights. Models such as Google’s Pathways Language Model, or PaLM, and Nvidia and Microsoft’s Megatron-Turing NLG 530B are among the biggest, with 540 billion and 530 billion parameters, respectively. The more parameters a program has, in general, the greater the amount of computing power it consumes to train, and also to run for making predictions, what’s called inference....