Students often train large language models (LLMs) as part of a group. In that case, your group should implement robust access ...

FEMI, an AI model for IVF, uses 18 million images to improve embryo assessment, offering a non-invasive, cost-effective ...

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

Next-generation U-Net Encoder: Decoder for accurate, automated CTC detection from images of peripheral blood nucleated cells stained with EPCAM and DAPI.. If you have the appropriate software ...

Tuli et al. (2022) successfully developed deep Transformer networks by attention-based sequence encoders, to solve the problem of anomaly detection of multivariate time series data in modern ...

In recent works on semantic segmentation, there has been a significant focus on designing and integrating transformer-based encoders. However, less attention has been given to transformer-based ...

This comprehensive guide delves into decoder-based Large Language Models (LLMs), exploring their architecture, innovations, and applications in natural language processing. Highlighting the evolution ...

Conversely, transformers inhabit a co-product completion of the category, constituting a topos. This distinction implies that the internal language of the transformer possesses a higher-order richness ...