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.

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