但是，更加复杂的环境变得越来越普遍，其中涉及到使用多层服务器处理请求。
But more complex environments are increasingly common, where multiple layers of servers are involved in processing a request.
它也标志着人工智能从一些狭窄的、经过仔细定义的领域转向了现实场景，在这些现实场景中，系统要学会处理复杂数据，还要能适应不确定的环境。
It also marks a transition of ai from narrow, carefully defined domains to real-world situations in which systems learn to deal with complex data and adapt to uncertainty.
如果使用32位执行组处理环境中的复杂且数目众多的消息流，1 GB的缺省值可能不够。
The default value of 1 GB might not be sufficient if you are using 32 bit execution groups for complex and large number of message flows in the environment.
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