The Case Increased Scaling Hurts Dynamic Abstraction.
Introduction Deep Learning has come to be associated with a general rule: Bigger Is Better. For tasks such as image or text processing, this has seemed to pan out: more parameters has almost always produced more capacity. In the domain I work in, Natural Language Processing (NLP), we use Large...
Jun 8, 20251