machine
Uncertainty Quantification in Machine Learning: A Deep Dive into Evidential Deep Learning and Deep Evidential Regression
Decision-making, even for humans, is a complex process heavily influenced by intuition and an implicit understanding of uncertainty. This article delves into Evidential Deep Learning (EDL), a novel framework designed to quantify both epistemic and aleatoric uncertainty in machine learning models. Specifically, it focuses on Deep Evidential Regression (DER), as detailed in the seminal 2020 […]
The Slot Machine Economy of Generative AI: Unpacking the Costs and Uncertainties of LLM Usage
The allure of generative artificial intelligence, particularly Large Language Models (LLMs), lies in its profound sense of possibility. Users often approach these powerful tools with a question in mind, anticipating a response that will be not only accurate and specific but also remarkably swift, potentially solving complex problems in mere seconds. This experience, when successful, […]