Guardrail layers are crucial in the responsible use of Language Models (LLMs), such as OpenAI's GPT-3, to ensure safety, ethical compliance, and context control.
The guardrail layer prevents the generation of harmful or offensive content, filters out sensitive topics or toxic language, and ensures compliance with ethical guidelines and legal requirements.
It also implements custom business rules, protects against dangerous recommendations, and detects and mitigates hallucinations or false information provided by the LLMs.
Guardrail layers can be implemented through input and output filtering, rule-based constraints, external API integrations, human-in-the-loop systems, and reinforcement learning from human feedback.