The domain of digital public health is rapidly evolving with the emergence of large language models (LLMs), which are poised to revolutionize disease ...

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...

Familiarity with basic networking concepts, configurations, and Python is helpful, but no prior AI or advanced programming ...

Z80-μLM is a 'conversational AI' that generates short character-by-character sequences, with quantization-aware training (QAT) to run on a Z80 processor with 64kb of ram. The root behind this project ...

Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...

By way of definition, AWS Strands is a model-driven framework (i.e. one that uses high-level designs to automatically generate code, which is often used for streamlining complex software development ...

The Arkanix infostealer combines LLM-assisted development with a malware-as-a-service model, using dual language implementations to maximize reach and establish persistence.

Abstract: The development of AI-Generated Video (AIGV) technology has been remarkable in recent years, significantly transforming the paradigm of video content production. However, AIGVs still suffer ...

Abstract: Automated essay grading (AEG) is an important application of Natural Language Processing (NLP) that enhances efficiency and consistency in educational assessment. This paper presents a multi ...

Results: Results: The best-performing model obtained a micro-averaged F1-score of 0.88 (95% CI, 0.86-0.90) in extracting mortality information. The FSL-LLM approach demonstrated high accuracy in ...