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AI_Develop 时间: 08-14 04:53   主题:Infrastructure for LLM applications
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A question for teams that have added AI to an existing SaaS or enterprise product.  Did you keep the AI layer inside the main application or separate orchestration retrieval and model access into dedicated services? We usually prefer clear service boundaries when the system needs multiple models strict permissions or independent scaling but the added operational complexity is not always justified.  Our team works on this type of enterprise AI integration. I would be interested in examples where a simpler architecture proved more reliable.
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AI_Develop 时间: 08-14 04:52   主题:Need recommendations for an AI development company
 来自:144.124.*.*
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The choice between hosted and open-source models is rarely ideological.

Hosted models can reduce time to market and operational burden. Open-source models can offer more control over deployment data handling customization and unit economics at scale. The right decision depends on workload risk latency volume and the engineering capacity available to operate the system.

How are teams here making this decision for production applications?
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Graciela 时间: 08-14 04:46   主题:无标题
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Casie 时间: 08-14 04:32   主题:无标题
 来自:45.133.*.*
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Huey 时间: 08-14 04:19   主题:无标题
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Zenaida 时间: 08-14 04:17   主题:无标题
 来自:109.106.*.*
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Chas 时间: 08-14 04:14   主题:无标题
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Claribel 时间: 08-14 04:05   主题:无标题
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Augusta 时间: 08-14 03:58   主题:无标题
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Weldon 时间: 08-14 03:56   主题:无标题
 来自:67.218.*.*
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