Unverified50% confidenceSolutionExact time
The technical approach adopted by enterprises is to fine-tune open-source models with their own data and use mixed routing based on data sensitivity, with sensitive data routed to local open-source models and complex reasoning tasks calling closed-source frontier models.
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9/28/2026
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UnverifiedEnterprises can use the outputs of closed-source models to build training datasets, and then transfer large model capabilities to private small models through knowledge distillation.75% similarUnverifiedRouting to open models is a strategy of dynamically dispatching requests to different models based on task complexity, cost sensitivity, and latency requirements.73% similarUnverifiedTop closed-source commercial models still hold advantages over local open-source models in complex reasoning, ultra-long context, and multimodality.70% similarUnverifiedFine-tuning通过在开源基座模型上用行业数据调整参数使模型内化领域知识，常用LoRA、QLoRA等参数高效微调技术69% similarUnverifiedCommon technical approaches to model lightweighting include knowledge distillation, model pruning, quantization, and neural architecture search (NAS)68% similar
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