Nikhil Bhargava, PhD in Making·Aug 5A Practitioner’s Guide to Loss Functions for Training Deep Multimodal LLMsTL;DR:
VectorWorks Academy·Jul 26Focal Loss Explained: When It Helps, When It Hurts, and How to Think About It in Production MLOne of the first challenges engineers encounter when training large-scale machine learning models is class imbalance. Suppose you’re…A response icon1
InAI MindsetbyDr. Fadi Shaar·Feb 25Eight Computer Vision Papers That Redefined the FieldIf you are entering the field of computer vision — or aiming to strengthen your fundamentals — there are certain research papers you simply…
Sebastian Buzdugan·Jan 4Why Focal Loss Is (Almost) Never Used in LLM TrainingIf you squint at language model training, it looks like the most imbalanced classification problem imaginable.
