Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt ...

Large language models turned natural language into a programmable interface, but they still struggle when the world stops being text and starts being traffic, physics and risk. A new wave of “large ...

Instead of using text tokens, the Chinese AI company is packing information into images. An AI model released by the Chinese AI company DeepSeek uses new techniques that could significantly improve AI ...

First of four parts Before we can understand how attackers exploit large language models, we need to understand how these models work. This first article in our four-part series on prompt injections ...

Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...