Understanding Reasoning Models in LLMs : Large Language Models (LLMs) like GPT-4 have advanced significantly in their ability to perform reasoning tasks. Reasoning in LLMs refers to their capacity to infer, deduce, and apply logic to solve problems beyond mere pattern recognition. This article explores the mechanisms that enable reasoning in LLMs, their mathematical foundations, […]
Uncertainty Quantification in Finite Element Analysis : Finite Element Analysis (FEA) is widely used for simulating and predicting the behavior of complex systems under various conditions. However, the accuracy of FEA results is affected by uncertainties in input parameters, material properties, boundary conditions, and numerical approximations. Uncertainty Quantification (UQ) in FEA aims to assess and […]
