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fine-tuning

AI behavior changes are separated into model-weight updates, runtime context, and observable responses, tool choices, and action paths.

AI Does Not Have a Mindset: What Repetition Actually Changes in an AI System

Published September 8, 2026 by Paul Bryant

Identify what actually changes when an AI system behaves differently. Separate model parameters, instructions, retrieval, memory, tools, and feedback, then govern each layer according to its persistence and authority.

Categories AI Tags AI behavior, AI Governance, AI memory, context engineering, fine-tuning, LLMs, RAG 2 Comments

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