Comprehensive Overview of 20 Essential LLM Guardrails: Ensuring Security, Accuracy, Relevance, and Quality in AI-Generated Content for Safer User Experiences
Security & Privacy
Guard against NSFW content, offensive language, prompt injections, and sensitive topics with appropriate filters and scanners.
Responses & Relevance
Ensure generated responses are relevant, address user input directly, provide functional URLs, and verify factual accuracy.
Language Quality
Evaluate response quality, translation accuracy, eliminate duplicate sentences, and determine readability.
Content Validation and Integrity
Block competitor mentions, validate price quotes, verify source context, and filter out gibberish content.
Logic and Functionality Validation
Validate SQL queries, adhere to OpenAPI standards, verify JSON format, and enforce logical consistency.
Conclusion
The 20 LLM guardrails ensure secure, relevant, and high-quality AI content, mitigating risks and meeting user needs.
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