Leader’s Opinion: LLMs Ride the Overconfidence Wave with Mukundan Rengaswamy

In the world of machine learning, developers often grapple with the enigmatic quirks of Language Model Models (LLMs). Jonathan Whitaker and Jeremy Howard from fast.ai embarked on an intriguing experiment, unearthing a subtle yet pervasive issue with these models: overconfidence, a distinct phenomenon from the notorious LLM hallucination. Mukundan Rengaswamy, Head of Data Engineering, Innovation & Architecture of Webster Bank weighed in on the matter, stating, “LLMs (Large Learning Models) and Gen AI have been in the news ever since ChatGpt was introduced to the public. Generative AI is powered by very large machine learning models that are pre-trained on vast amounts of data. A lot of research is being done on these models to better understand the behavior and refine them for broa