The Emergence of the Mixture-of-Agents Paradigm | Redefining Enterprise Architecture and Workforce Roles
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The enterprise artificial intelligence landscape has undergone a profound transformation, evolving from reactive, single-turn generative models to autonomous, goal-oriented multi-agent systems. Historically, foundation models—particularly large language models (LLMs), functioned as sophisticated, albeit passive, tools for knowledge extraction, predictive analytics, and content generation. However, the paradigm has shifted toward "agentic" artificial intelligence, wherein systems utilise foundation models to autonomously execute complex, multi-step workflows across digital…
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