AI

In the evolving field of machine learning, fine-tuning foundation models such as BERT or LLAMA for specific downstream tasks has become a…

Matching patients to suitable clinical trials is a pivotal but highly challenging process in modern medical research. It involves analyzing complex patient…

Generative agents are computational models replicating human behavior and attitudes across diverse contexts. These models aim to simulate individual responses to various…

In the evolving landscape of artificial intelligence, building language models capable of replicating human understanding and reasoning remains a significant challenge. One…

Generating high-quality, real-time video simulations poses significant challenges, especially when aiming for extended lengths without compromising quality. Traditionally, world models for video…

Quantum computing, despite its potential to outperform classical systems in certain tasks, faces a significant challenge: error correction. Quantum systems are highly…

Led by Joon Sung Park, a Stanford PhD student in computer science, the team recruited 1,000 people who varied by age, gender,…

Large language models (LLMs) are AI systems trained on vast amounts of text data, enabling them to understand, generate, and reason with…

Retrieval Augmented Generation (RAG) has become a crucial technique for improving the accuracy and relevance of AI-generated responses. The effectiveness of RAG…

Email remains a vital communication channel for business customers, especially in HR, where responding to inquiries can use up staff resources and…