IEEE

In-Context Learning in Large Language Models (LLMs): Mechanisms, Capabilities, and Implications for Advanced Knowledge Representation and Reasoning

Abstract: The rapid growth of Large Language Models (LLMs) and their in-context learning (ICL) capabilities has significantly transformed paradigms in artificial intelligence (AI) and natural language ...
The Mobile Rundown on MSN

He built a learning game at 16 that millions of students now use

He launched a learning game at 16 that now reaches millions of students worldwide. Here’s what we can learn from this young founder.
Phys.org

Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
IEEE

Advanced Zero-Shot Learning (AZSL) Framework for Secure Model Generalization in Federated Learning

Abstract: Federated learning (FL) introduces new perspectives in machine learning (ML) by enabling model training across decentralized devices. The research on data security and privacy in federated ...