Abstract: In this paper, we consider the model merging process for large language models (LLMs) under a two-stage optimization framework. Traditional merging methods usually apply fixed blending rates ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Alibaba launches Qwen3.5, a 397B-parameter AI model built for agents, claiming 60% lower costs, 8x throughput, and expanded ...

Add a description, image, and links to the linear-threshold-model topic page so that developers can more easily learn about it.

This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...

Abstract: This paper introduces the novel formulation of the quadrature-based balanced truncation (QBBT) method to precisely identify large-scale power system linear models. The QBBT interpolates a ...

Python has been the language of data science since before machine learning was trendy, and now you can use it for building AI agents, too. Get the scoop on the new Google Agent Development Kit and ...

pyTCR is a climatology software package developed in the Python programming language. It integrates the capabilities of several legacy physical models and increases computational efficiency to allow ...