One of the challenges I often face when working with AI models today is understanding how the data used for training can introduce unintended biases. We tend to think that a good split between training, validation, and test sets is enough to ensure our model will generalize well to real-world data. But sometimes, that’s simply not the case.
Eugenia Moris August 14, 2025
AI, AI Strategy & Implementation
AI, AI Agents