Modern Weak Supervision for ML Ranking Applications: Combining Heuristics and LLM

In recent years, the real-world impact of machine learning (ML) has grown in leaps and bounds. There’s no doubt about how important labels are for these constant improvements and innovations. The Imagenet dataset alone has been a major driving force for the growth of Computer Vision. Accurate labels allow us to improve model performance as well as safely and reliably evaluate our experiments.

These hand-labeled training sets are expensive and time-consuming to create — often requiring person…