Generative Adversarial Networks (GANs), discovered by Ian Goodfellow in 2014, were an early method in the area of generative AI. I will focus on image generation as set out in the paper Generative Adversarial Nets 1 . This paper is the focal point of the post, I will guide you through the implementation of the paper…
An intuitive explanation of the James-Stein estimator.
HN discussion
[Special thank you to Ian Kivlichan for many useful pointers (E.g. the 100+ year old Nature paper “Vox populi”) and nice feedback. 🙏 ] High-quality data is the fuel for modern data deep learning model training. Most of the task-specific labeled data comes from human annotation, such as classification task or RLHF…
I offer "no economic boost," you receive "P(doom)"
None of what I write in this newsletter is about sowing doubt or "hating," but a sober evaluation of where we are today and where we may end up on the current path. I believe that the artificial intelligence boom — which would be better described as a generative AI boom
How do we prepare them for what we're not prepared for?
10 years on, some things have changed and some did not
Today, I’m going to write a bit about our GPU cluster machine we call cogito at Driveline Baseball. I’m going to timebox these blog posts so I get them out and also save my sanity, so t…
