Wood Wide AI has raised $3 million to build an API to help language models handle structured data with greater accuracy in ...

A few days ago, I came across a deceptively simple interaction with an AI assistant that perfectly captures one of the most fundamental problems in frontier large language models (LLMs). I asked: "I ...

We need to talk about LLM reasoning. For all the fanfare about performance gains, the most sophisticated AI models continue to fail at tests of basic reasoning. In a study last year, Sapient ...

Learn how to evaluate LLM quality and limitations using a range of testing techniques, from unit and regression testing to ...

A popular way to explain how current LLMs work is to say that “all” they do is predict the next most likely word in a sentence. From one perspective, this is correct. Trained on all human language, ...

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), ...

Large language models (LLMs) include not only social stereotypes but also cognitive biases. As researchers work to identify, characterize and rectify these biases, we encourage the scientific ...

When ChatGPT launched in November 2022, the reaction was immediate and visceral: this works. For the first time, millions of people experienced AI not as a distant promise, but as something useful, ...

Mueller argues LLM systems can't use llms.txt to differentiate between websites for discovery. He sees a narrow role once an ...