Assistive technology can help students with disabilities, but schools face challenges using it to its full potential.

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.

The trajectory of artificial intelligence has reached a critical inflection point. We know how to scale individual models to hundreds of billions of parameters, yet they still struggle with plasticity ...

Amazon Web Services on Tuesday announced three new AI agents it calls “frontier agents,” including one designed to learn how you like to work and then operate on its own for days. Each of these agents ...

Abstract: In-context learning (ICL) empowers large pre-trained language models (PLMs) to predict outcomes for unseen inputs without parameter updates. However, the efficacy of ICL heavily relies on ...

Understanding student engagement as a psychological construct remains a persistent challenge in educational psychology, particularly in higher education STEM contexts. Traditional models distinguish ...

Abstract: Recently, Multimodal Named Entity Recognition (MNER) has attracted significant attention. Although MNER utilizing in-context learning has shown improved performance, modality retrieval bias ...

A novel approach to in-context learning example selection/ordering through the extension of DPO. Experimental results demonstrate the top-1 performance across 4 NLP tasks including 9 subsets, with ...

Learn the concept of in-context learning and why it’s a breakthrough for large language models. Clear and beginner-friendly explanation. #InContextLearning #DeepLearning #LLMs Supreme Court Deals ...

It remembers the passwords that you can’t, and hides them from AI bots that can’t be trusted to forget. It remembers the passwords that you can’t, and hides them from AI bots that can’t be trusted to ...

This repository contains an implementation inspired by the ICLR paper on dynamic representation learning and semantic reorganization in graph-based tasks. The implementation features advanced analysis ...

Artificial intelligence models can secretly transmit dangerous inclinations to one another like a contagion, a recent study found. Experiments showed that an AI model that’s training other models can ...