Wonder what is really powering your ChatGPT or Gemini chatbots? This is everything you need to know about large language ...

This architecture lets Token Monster tap into a range of models from different providers without having to build separate integrations for each one.

To effectively handle diverse data patterns, we introduce a reinforcement learning based approach to learn parameter values automatically. Our experimental evaluation shows that our approach improves ...

Large language models (LLMs) applications range from text processing to predicting virus variants. As the datasets on which ...

It was thanks to the endless support I received at Dickinson that I was able to push myself this far. Additionally, the math and computer science courses at Dickinson helped provide the fundamental ...

Researchers developed a machine learning model that can evaluate patients ... at the time of delivery, including data on demographics, medical conditions, and visit history.

Abstract: Machine learning (ML) workloads have rapidly grown, raising concerns about their carbon footprint. We show four best practices to reduce ML training energy and carbon dioxide emissions. If ...

Today, I will discuss five key intersections between machine ... this type of learning technique. It is called self-supervised learning. In the supervised learning format, the LLM is a multiclass ...

State Key Laboratory of Urban Water Resource and Environment, School of Eco-Environment, Harbin Institute of Technology, Shenzhen 518055, China ...