Stop Your Local LLM From Going Rogue: Building Ethical AI Guardrails
Local Large Language Models (LLMs) offer incredible potential for privacy and speed, but they also shift the responsibility for ethical AI directly onto developers. Unlike cloud-based APIs with built-in safeguards, you are now the architect of the entire ethical stack. This post dives into building a robust "Ethical Inference Guardrail" – a system that intercepts LLM outputs and filters harmful or inappropriate content before it reaches the user. We’ll cover the theoretical underpinnings, practi...
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