How to Design, Create, and Evaluate an Instruction-Tuning Dataset for Large Language Model Training in Health Care: Tutorial From a Clinical Perspective J Med Internet Res 2025;27:e70481 ...

Abstract: The SGAM Toolbox has established itself as a valuable modeling tool in the energy sector, particularly for interdisciplinary system-of-systems use cases. Built on a domain-specific modeling ...

Milestone Systems has released an advanced vision language model (VLM) specializing in traffic understanding, powered by NVIDIA Cosmos Reason, a framework designed to enable advanced reasoning across ...

In this example, we demonstrate how to model power electronics devices that perform current control using MathWorks products, focusing on: The modeling style introduced in this example is not a ...

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...

In this tutorial, we explore how to build an intelligent and self-correcting question-answering system using the DSPy framework, integrated with Google’s Gemini 1.5 Flash model. We begin by defining ...

With increasing model complexity, models are typically re-used and evolved rather than starting from scratch. There is also a growing challenge in ensuring that these models can seamlessly work across ...

ABSTRACT: System dynamics is a methodology that examines the dynamics of internal structures and variable processes, providing critical support for long-term policy development. This study analyzed ...

The underlying task of language modeling is to predict the probability of word tokens, or other linguistic forms, in a text based on previously observed texts (Jurafsky and Martin, 2023). Language ...