Practical insights on building production AI systems with DSPy, sovereign infrastructure, and neuro-symbolic approaches.
Why AI success is 80% a problem of data preparation and only 20% application functionality. A strategic guide to overcoming data hurdles for trustworthy AI.
Read MoreResurrecting a dead language with Data Science. How we expanded the training dataset by 400% through 'Data Archaeology' and used curriculum learning to handle ancient tablets.
Read MoreA case study on the Hedge Fund Time Series Forecasting competition. How robust objectives, shrinkage calibration, and one-change-at-a-time experimentation beat kitchen-sink feature engineering.
Read More