4 posts about LLM governance by 1 contributor.
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GSCP-15: A governance protocol for agentic AI, ensuring traceability, repeatability, and safety in enterprise LLM workflows through structured control.
GSCP-15: A framework for reliable LLM execution using governed agentic AI. It ensures traceability, repeatability, and safety in enterprise workflows.
GSCP-15: A governance-first approach to prompt engineering, transforming LLMs into reliable, controlled production systems. Ensures consistency, safety, and auditability.
Ditch the 'context engineering' myth! This article argues that reliable AI systems require structured 'prompt engineering' – operating contracts that define role, scope, evidence, and output. Learn how contracts prevent privacy leaks, reduce costs, ensure consistency, and drive measurable business value by governing AI behavior, not just feeding it data. Build an evidence fabric, not a memory dump!
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