共识评分分析多个AI模型的回答，测量它们在哪里一致、在哪里分歧，以及这种模式对答案可靠性意味着什么。
每个大型语言模型都根据其训练数据、架构和推理参数生成输出。当前所有LLM都会产生幻觉——以与准确陈述相同的流畅度和自信度产生虚假陈述。
共识评分是一种可靠性测量技术，将同一查询发送给多个独立的AI模型，并分析其回答模式。当多个模型独立产生相同答案时，该答案更可能基于真实知识。
This article references third-party AI models, benchmarks, prices, and licenses. The AI landscape changes rapidly. Benchmark scores, license terms, model names, and API prices can shift between the time of writing and the time you read this. Before making deployment or compliance decisions based on this article, verify current figures on each provider's official source: Hugging Face model cards for licenses and benchmarks, provider websites for API pricing, and EUR-Lex for current GDPR and EU AI Act text. This article reflects publicly available information as of May 2026.
PromptQuorum dispatches between local Qwen and cloud models — keeping personal data on EU infrastructure while preserving access to frontier reasoning when needed.
