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Chain-of-experts (CoE): A lower-cost LLM framework that increases efficiency and accuracy
Chain-of-experts chains LLM experts in a sequence, outperforming mixture-of-experts (MoE) with lower memory and compute costs.
Chain-of-experts versus mixture-of-experts (source: Notion) For example, in mathematical reasoning or logical inference, CoE allows each expert to build on previous insights, improving accuracy and task performance. This method also optimizes resource use by minimizing redundant computations common in parallel-only expert deployments, addressing enterprise demands for cost-efficient and high-performing AI solutions. CoE’s lower operational costs and improved performance on complex tasks can make advanced AI more accessible to enterprises, helping them remain competitive without substantial infrastructure investments.
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