This review explores the intersection between large language models (LLMs) and cognitive science by examining similarities and differences between LLMs and human cognitive processes. It evaluates ...

Choosing the right AI language model can feel like trying to pick the perfect tool from an overflowing toolbox—each option has its strengths, but which one truly fits your needs? If you’ve found ...

Seeing as how it takes hours of interactions to really get a feel for what an ai can do, how do they compare? I’ve spent some time on ChatGPT mainly. Claude is supposedly a more sensitive llm? I haven ...

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by ...

“I’m not so interested in LLMs anymore,” declared Dr. Yann LeCun, Meta’s Chief AI Scientist and then proceeded to upend everything we think we know about AI. No one can escape the hype around large ...

Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single token (like “the” or “it”), whereas larger words may be represented by ...