For the past two years, artificial intelligence strategy has largely meant the same thing everywhere: pick a large language model, plug it into your workflows, and start experimenting with prompts.

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 ...

Artificial intelligence in the revenue cycle management space is heating up as companies look to leverage the technology to ...

Mark Zuckerberg revealed the "Muse Spark" AI model from the Facebook parent's redesigned AI lab.

Apple researchers have developed an adapted version of the SlowFast-LLaVA model that beats larger models at long-form video analysis and understanding. Here’s what that means. Very basically, when an ...

W hen in 2019 OpenAI finished training a new large language model called GPT-2, the artificial-intelligence lab initially declared it too dangerous to be released. Dario Amodei, t ...

Over the past few decades, robotics researchers have developed a wide range of increasingly advanced robots that can ...

Xaira Therapeutics, a company built to transform drug discovery through AI, today announced X-Cell, its first virtual cell ...

New research finds that forcing Large Language Models to give shorter answers notably improves the accuracy and quality of ...