A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the journal Proceedings ...

Abstract: As the scale of deep learning models continues to expand, computational cost has become a major challenge. Model parallelism techniques, especially pipeline parallelism, have been shown to ...