In-Context Learning: When Machines Learn Like Humans Think
Imagine a detective solving a case not by rereading all past textbooks on crime but by studying a few fresh clues left at the scene. That’s how large language models perform in-context learning—they learn on the fly, adapting to the situation presented before them, without rewriting their internal rules. Unlike traditional learning that chisels new…