Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...
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Abstract: Mental health disorders profoundly affect intellectual ability, emotional resilience, and social stability, leading to lasting effects on both individuals and society. Increasing global ...
ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...
Multimodal sentiment analysis (MSA) is an emerging technology that seeks to digitally automate extraction and prediction of human sentiments from text, audio, and video. With advances in deep learning ...
Abstract: This research produces an extensive multilingual data mining sentiment analysis model. Utilizing the material obtained, such as consumer reviews as well as on social networking sites, ...
In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...
Advancing Public Health through Generative Artificial Intelligence: A Focus on Digital Well-Being and the Economy of Attention ...
Abstract This study proposes an automated tongue analysis system that combines deep learning with traditional Chinese medicine to enhance the accuracy and objectivity of tongue diagnosis. The system ...
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