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LLM Council for Multi-Model Consensus
llm-council
sickn33/antigravity-awesome-skills
111
This skill implements the LLM Council concept, enabling multiple open-weight language models to collaborate on complex queries. The process follows a three-stage deliberation: 1) Parallel independent responses from selected models; 2) Peer-to-peer ranking of the responses; and 3) Final synthesis by a designated Chairman LLM. Powered by Fireworks AI, it ensures deep, multi-faceted analysis and consensus building for high-stakes decision support.
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LLM Council Deliberation
llm-council
sickn33/agentic-awesome-skills
73
Run Fireworks-hosted open-weight model councils that compare responses and synthesize a final answer. This skill implements Karpathy's LLM Council concept with parallel model responses, ranking, and chairman synthesis.
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1
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简体中文
English