Understanding Semantic Validation with Structured Outputs
Semantic validation uses LLMs to evaluate content against complex, subjective, and contextual criteria that would be difficult to implement with traditional rule-based validation approaches.
As LLMs become increasingly integrated into production systems, ensuring the quality and safety of their outputs is paramount. Traditional validation methods relying on explicit rules can't keep up with the complexity and nuance of natural language. With the release of Instructor's semantic validation capabilities, we now have a powerful way to validate structured outputs against sophisticated criteria.