Continuing from my previous post, this is an attempt to define metrics for measuring the quality of Agentic AI Systems
#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 →
#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 →
Celebrating the learning and curious mindset 