AI does not need to handle everything.
That is the idea behind 智能路由 AI.
Instead of sending every task directly to a large AI model, the 系统 decides the most efficient execution path:
规则 → 解析器 → 自动化 → SLM → LLM
Simple and repetitive tasks should not consume expensive AI inference.
Structured tasks should be handled deterministically.
Only complex reasoning should reach larger models.
The goal is not to use more AI.
The goal is to use the right intelligence, at the right layer, for the right task.
For 中小企业 and 企业 系统, this can mean lower token consumption, lower compute requirements, faster execution and more predictable operating costs.
路线 first. Infer only when needed.
#SmartRouting #AI #AIInfrastructure #AIAutomation #LLM #SLM #EnterpriseAI #DigitalTransformation #中小企业 #ArtificialIntelligence
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lower compute requirements, faster execution这个说法我要拿回去跟同事讨论。
我对structured tasks should be handled还有问题，但文章已经提供了很好的起点。
这篇内容让我更容易理解为什么lower compute requirements, faster execution值得关注。
这篇文章对lower compute requirements, faster execution的解释很清楚，实际操作的重点也很容易理解。
这篇文章把structured tasks should be handled讲得比一般的AI介绍更具体。 值得再看一遍。