Since 2023, we have been hearing doomsayers talking about the coming AI Apocalypse that will take our jobs, run economies etc. And they keep pointing to the impressive performance gains and the reasoning capabilities of the frontier models. Meanwhile, those of us in Enterprise AI continue to be frustrated by the temptation to treat these... Continue Reading →
#78: Model-free vs. Model-based learning
Over the holidays, I read A Brief History of Intelligence by Max Bennett, a fantastic book that traces the evolution of intelligence from worm-like nematodes (microscopic worms) all the way to us humans. The author does an absolutely brilliant job of the journey by breaking it into five key breakthroughs starting from the minute organisms... Continue Reading →
#74: Enterprise Gen AI: it is all about the data
The Scaling Laws have formed the basis for the development efforts of the various companies building Foundation Models. Simplistically put, the models get better with model size, dataset size, and the amount of compute used for training, and by and large, this has held across all the FMs. After the astonishingly rapid development in the... Continue Reading →