The language we use to describe large language models shapes how we understand their capabilities, limitations, risks, and ...

Large Language Models (LLMs) have evolved far beyond their initial role as next-word predictors. Recent research, particularly from Anthropic, sheds light on the sophisticated mechanisms driving these ...

Exploring uses for artificial intelligence (AI) machine learning is de rigueur, and large language models (LLMs) are having their moment in the spotlight. Last year, LLMs were used in a variety of ...

The study was published on arXiv, a free, open-access repository where researchers post preprints before formal peer review.

Generative AI, especially large language models (LLMs), present exciting and unprecedented opportunities and complex challenges for academic research and scholarship. As the different versions of LLMs ...

Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether prompt engineering improves their accuracy and alignment with expert reasoning.

Foundation models—AI systems trained on expansive datasets that can perform a wide range of tasks—and large language models—a subset of foundation models capable of processing and generating humanlike ...

What if you could demystify one of the most fantastic technologies of our time—large language models (LLMs)—and build your own from scratch? It might sound like an impossible feat, reserved for elite ...

Technical and legal jargon make privacy policies for LLMs and their chatbots almost unreadable for most people.