Consilium：當多個 LLM 協同工作時的共識與協作機制
Original: Consilium: When Multiple LLMs Collaborate
As large language models (LLMs) have developed, the industry has gradually come to recognize the limitations of the "single model does…
Hugging Face 發表關於「Consilium」的多 LLM 協作技術探討。隨著單一模型的能力逐漸遇到瓶頸，讓多個不同專長、不同尺寸的 LLM 協同工作（如合議制、辯論或 Mixture of Agents）成為提升 AI 系統魯棒性的關鍵。本文深入解析多模型協作的架構設計、共識機制以及其在降低幻覺與控制成本上的優勢。
As large language models (LLMs) have developed, the industry has gradually come to recognize the limitations of the "single model does everything" approach. The concept of "Consilium" (Latin for council or deliberation) proposed by Hugging Face explores how to get multiple LLMs to work together collaboratively in order to solve complex tasks.
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