Researchers presented byteification, an approach that adapts token-based language models to process text at the byte level ...

A systematic review in Applied Intelligence introduces a two-axis taxonomy that maps how large language models enhance graph ...

Artificial intelligence systems are increasingly entrusted with answering questions, supporting decisions and generating content. Yet researchers have identified a surprising weakness in many of today ...

Overview GPT-4 changed the standard for AI assistants, while newer models focus on reasoning, longer context, and completing ...

Researchers in China have built a large language model-based scheduler that outperforms traditional and reinforcement learning methods for autonomous vehicle fleets by combining demand forecasting, ...

The rise of large language models (LLMs) has revolutionized the capabilities of AI, allowing machines to generate human-like text, engage in conversations, and assist in decision-making processes.

How large is a large language model? Think about it this way. In the center of San Francisco there’s a hill called Twin Peaks from which you can view nearly the entire city. Picture all of it—every ...

In the next phase of enterprise AI, I believe token consumption will be a weak proxy for progress. Useful, reliable outcomes are the measure that matters. Choosing the smallest model that can reliably ...