The AI Engineering Stack: What Actually Belongs Around the Model
The model is only one component of a production AI system. A practical architecture for orchestration, context, tools, policy, evaluation, observability, security and cost.
The model is only one component of a production AI system. A practical architecture for orchestration, context, tools, policy, evaluation, observability, security and cost.
Moving AI from an impressive demo into production changes the engineering problem. A practical framework for evaluation, boundaries, observability, recovery and controlled autonomy.
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