Post #393

#ml https://ai.googleblog.com/2022/08/optformer-towards-universal.html?m=1 I find this work counter intuitive. They took some descriptions of the optimization in machine learning and trained a transformer to "guesstimate" the hyperparameters of a model. I understand that human being has some "feeling" of the hyperparameters after working with the data and model for a while. But it is usually hard to extrapolate such knowledge when we have completely new data and models. I guess our brain is doing some statistics based on our historical experiments. And we call this intuition. My "intuition" is that there is little generalizable knowledge in this problem. 🙈 It would have been so great if they investigated the saliency maps.