Methods: The integration of Federated Learning (FL) and Large Language Model (LLM) offers a promising solution to these challenges since FL supports the distributed training on edge device with ...

CGBridge is a novel framework designed to enhance the code understanding capabilities of Large Language Models (LLMs) by integrating rich structural information from code graphs. Our approach follows ...

Selector, the industry leader in AI-powered network operations intelligence, today announced that the United States Patent and Trademark Office (USPTO) has granted eight foundational patents to the ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated reasoning. But when it comes to four-digit multiplication, a task taught in ...

Background: The evaluation of large language models (LLMs) in medicine has undergone a shift from knowledge-based testing to practice-based assessment, representing an evolution in how we measure ...

Tesla's Performance models traditionally push each series to its limits. Now, the American automaker has also enriched the revised Model Y, also known as the Juniper, with the extra-sharp version. One ...

Abstract: Modern battlefield situation visualization faces significant challenges in real-time processing of large-scale dynamic graph data. This paper proposes a parallel visualization architecture ...

In this review, we focus specifically on transformer-based LLMs, which are built on the transformer architecture, an attention-based mechanism capable of capturing complex dependencies in sequential ...

The development of Multimodal Large Language Model (MLLMs) offers new technological support for cultivating design thinking and innovation capability in medical education. However, the current ...