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 →
#79: Demand Forecasting and Language Models
Demand Forecasting is a widespread application for Machine Learning. Almost every enterprise, across various sectors, keeps investing in this area. None more so than industries with physical Supply Chains, where it is estimated that a 10-20% improvement in forecast accuracy can translate to a 5% reduction in inventory costs and 2%-3% increase in revenues (McKinsey).... 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 →
#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 →
The importance of Humanities
I just finished reading Barbara Kingsolver’s ‘Demon Copperhead’, a reimagined retelling of Dickens’ David Copperfield, set in modern day America in the backdrop of rural poverty and opioid addiction. Highly recommend the book - although it is by no means an easy, fun read. Through this, I got to imagine what it means to be... Continue Reading →
Celebrating the learning and curious mindset 