Artificial intelligence (AI) is everywhere—from the chatbots we consult for customer support to tools predicting how diseases might spread. But the computing power and energy required to power modern AI models—such as large language models (LLMs)—can make them expensive, inaccessible and environmentally taxing. A team of researchers at Rice University is working on solutions to change that.
This post was originally published on this website.
