Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...
The presentation below, “Using Bayesian Optimization to Tune Machine Learning Models” by Scott Clark of SigOpt is from MLconf. The talk briefly introduces Bayesian Global Optimization as an efficient ...