Dereference开创性地将多模型决策支持引入开发流程，开发者可同时运行Claude、GPT-4和Gemini对同一技术问题给出解决方案。例如实现机器学习算法时，可以并行获取三个模型对超参数调优的建议，通过横向对比选择最佳实践。工具提供的统一界面能直观展示不同模型输出的代码风格、性能优化侧重点等差异。
这种工作模式颠覆了传统单模型依赖的局限性，使开发者能综合利用各模型优势：Claude的长文本分析能力、GPT-4的代码生成质量、Gemini的多模态理解等。在量化测试中，使用多模型并行的开发方式能使方案最优率提升35%，特别适合POC验证、技术方案选型等关键决策场景。
This answer comes from the articleDereference: a development tool for running multiple AI models in parallelThe
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