Morning Overview on MSN

LLMs have tons of parameters, but what is a parameter?

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters tossed around as shorthand for power. Yet for anyone outside the machine ...
IEEE

Prescribed-Time Delayed Zeroing Neural Network for Solving Time-Varying Equations and Its Applications

Abstract: Zeroing neural networks (ZNNs) play a crucial role in efficiently solving time-varying problems. Recently, ZNNs are integrated with many advanced control theories with a certain convergence ...

Building Open-Source AI Models That Emphasize Generating Mental Health Advice

I discuss what open-source means in the realm of AI and LLMs. There are efforts to devise open-source LLMs for mental health guidance. An AI Insider scoop.
GitHub

Simple Neural Network Models

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...
GitHub

NSF NCAR MILES Community Research Earth Digital Intelligence Twin (CREDIT)

CREDIT is an open software platform to train and deploy AI atmospheric prediction models. CREDIT offers fast models that can be flexibly configured both in terms of input data and neural network ...
IEEE

Distance-Informed Neural Eikonal Solver for Reactive Dynamic User-Equilibrium of Macroscopic Continuum Traffic Flow Model

Abstract: This paper revisits the Reactive Dynamic User-Equilibrium (RDUE) model for dynamic traffic assignment (DTA) of macroscopic traffic flow in two-dimensional continuum space, focusing on the ...