Recent advances in the field of chemical process modelling have underscored the critical role of accurate parameter estimation and model optimisation. Robust models are essential to predict system ...
Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...
As a follow-on course to "Linear Kalman Filter Deep Dive", this course derives the steps of the extended Kalman filter and the sigma-point Kalman filter for estimating the state of nonlinear dynamic ...
Distributed electric drive technology has become an important trend because of its ability to enhance the dynamic performance of multi-axle heavy vehicle. This article presents a joint estimation of ...
When choosing a large language model (LLM) for use in a particular task, one of the first things that people often look at is the model's parameter count. A vendor might offer several different ...