What makes a large language model like Claude, Gemini or ChatGPT capable of producing text that feels so human? It’s a question that fascinates many but remains shrouded in technical complexity. Below ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. For anyone versed in the technical underpinnings of LLMs, this ...

This approach can be viewed as a memory plug-in for large models, providing a fresh perspective and direction for solving the ...

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 ...

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), ...

LLMs might not be “conscious” all the time, but certain situations could put them in a state something akin to it. German ...