What Is Transfer Learning? And Why Fine-Tuning Is Rarely the Answer
Transfer learning means reusing what a model has already learned on one task in order to do a different, related task. You start from a system that has absorbed a great deal of general structure, and you adapt it, instead of training something from zero. Every chat assistant you use is the product of that…
