Rice computer scientists develop solutions for making AI models more efficient and customizable

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.