AI & Machine Learning

Language Is Not Enough: Why the Next Wave of AI Agents Isn't Built on Words

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Researchers at UIUC propose Eywa, a framework that allows language models to coordinate with domain-specific foundation models without converting data into text, addressing limitations in current agentic systems. This approach improves performance and efficiency for tasks involving structured scientific data, offering developers a more effective way to integrate specialized AI capabilities into complex applications.

Read the full article at Towards AI - Medium

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Language Is Not Enough: Why the Next Wave of AI Agents Isn't Built on Words

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