Expired60% confidenceOpinionExact time
Using local models for simple tasks and cloud models for complex tasks is the optimal cost-effectiveness strategy.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/19/2026
First Seen
Valid until: 10/17/2026(expired)
Sources
Related Claims
UnverifiedFor the most complex tasks handled by local AI, frontier cloud models still hold an advantage; local models are an important component of the AI toolkit, but not the only choice.76% similarUnverified对于敏感、核心、涉及合规的任务应优先选择本地大语言模型和开源方案，公开低风险任务可使用云端AI工具75% similarUnverifiedSmart devices typically adopt a hybrid architecture of cloud-based large models plus local wake-word detection, where simple commands are processed locally and complex multi-turn dialogues call cloud large model APIs.70% similarUnverifiedThe Xiaodu Health Screen adopts a hybrid architecture of cloud-based large models plus local wake-up, where the local lightweight model parameter count is typically in the millions for wake-word detection, and complex tasks are completed by calling cloud-based large models via API.70% similarUnverified荷弹's actual development also incorporated cloud functions, Vercel services, and a standalone AI task processing module.69% similar
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