Large language models (LLMs) are often praised for exhibiting near-human performance on a wide range of tasks and valued for their ability to hold general conversation. The rise of agentic AI systems, however, is ushering in a slew of applications in which language models perform a small number of specialized tasks repetitively and with little variation.
