As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...

Pretraining a modern large language model (LLM), often with ~100B parameters or more, typically involves thousands of ...

Llama has evolved beyond a simple language model into a multi-modal AI framework with safety features, code generation, and multi-lingual support. Llama, a family of sort-of open-source large language ...

There’s been a lot of movement in healthcare among companies behind major large language models. Here’s a look at how the ...

As recently as 2022, just building a large language model (LLM) was a feat at the cutting edge of artificial-intelligence (AI) engineering. Three years on, experts are harder to impress. To really ...

Large language models such as ChaptGPT have proven to be able to produce remarkably intelligent results, but the energy and monetary costs associated with running these massive algorithms is sky high.

Large language models (LLMs) like OpenAI’s GPT-4 and Anthropic’s Claude 2 have captured the public’s imagination with their ability to generate human-like text. Enterprises are just as enthusiastic, ...

A duplex speech-to-speech model changes the premise: The intelligence layer consumes audio and produces audio directly. The model can attend to what was said and how it was said—content and delivery ...

Scoping review finds large language models can support glaucoma education and decision support, but accuracy and multimodal limits persist.

In recent ground tests, Boeing engineers demonstrated that a large language model running on commercial off-the-shelf hardware could examine telemetry and report in natural language on the health of a ...