From Few Samples to Thousands! MachineLearningLM Equips Large Models with a 'Machine Learning Engine' for Contextual Learning

Although large language models (LLMs) possess extensive world knowledge and strong reasoning capabilities, and are widely regarded as excellent few-shot learners, they still exhibit significant ...
Visual Studio Magazine

AdaBoost Binary Classification Using C#

Dr. James McCaffrey from Microsoft Research presents a C# program that illustrates using the AdaBoost algorithm to perform binary classification for spam detection. Compared to other classification ...

MachineLearningLM Equips Large Models with a 'Machine Learning Engine' for Context Learning

Despite large language models (LLMs) possessing extensive world knowledge and strong reasoning capabilities, they are widely regarded as excellent few-shot learners; however, they still exhibit ...
Chromatography Online

Portable Electronic Nose with Machine Learning Enhances VOC Detection in Forensic Science

A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...