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🧠 AI⚪ NeutralImportance 6/10
Natural Language Declarative Prompting (NLD-P): A Modular Governance Method for Prompt Design Under Model Drift
🤖AI Summary
Researchers propose Natural Language Declarative Prompting (NLD-P) as a governance framework to manage prompt engineering challenges as large language models evolve. The method separates different control elements into modular components to maintain stable AI system behavior despite model updates and drift.
Key Takeaways
- →NLD-P offers a modular approach to prompt design that addresses instability caused by evolving AI models.
- →The framework separates provenance, constraint logic, task content, and evaluation into distinct natural language components.
- →Model drift across AI generations creates governance challenges that require systematic rather than ad-hoc solutions.
- →The method is designed to be accessible for non-developer practitioners working with LLM systems.
- →The research identifies a shift from viewing prompt engineering as a craft to treating it as a systems governance challenge.
Read Original →via arXiv – CS AI
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