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AI application architecture

2 articles · Page 1 of 1
Frontline Investigation
Frontline Investigation
Jul 25, 2026 · Artificial Intelligence

The Hidden Middle Layer: Why AI Application Risks Lurk Beyond the Model

This article argues that as AI applications rapidly integrate models, the real risks shift to the overlooked middle layer—gateways, plugins, vector databases, and orchestration components—that control data flow, tool access, and audit trails, and proposes a three-chain framework (capability, data, responsibility) for governance.

AI GovernanceAI application architectureNIST AI RMF
0 likes · 16 min read
The Hidden Middle Layer: Why AI Application Risks Lurk Beyond the Model
Sohu Tech Products
Sohu Tech Products
Aug 23, 2023 · Artificial Intelligence

Engineering GPT Applications: Capabilities, Limitations, and Solutions

The guide explains GPT’s core capabilities—natural language mastery, domain reasoning, and code generation—while detailing its limits such as prompt sensitivity, token caps, and lack of memory, then offers engineering workarounds like systematic prompting, chain‑of‑thought, external memory, tool integration, safety checks, and a six‑layer architecture for building robust commercial AI applications.

AI application architectureChain-of-ThoughtGPT
0 likes · 20 min read
Engineering GPT Applications: Capabilities, Limitations, and Solutions