Jason Liu
Creator of Instructor
Verified Proof of Work Artifacts
2 items catalogedEach artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Jason Liu. Every entry undergoes editorial source verification.
Instructor: Structured Outputs and Schema Enforcement for LLMs
Designed and authored Instructor, an open-source framework with over 18,000 GitHub stars that wraps OpenAI, Anthropic, and open-weights models to guarantee strict JSON schema validation, automated retries with error feedback, and streaming Pydantic objects.
Schema complexity is constrained by maximum token limits and prompt context overhead during multi-step automated retry cycles.
Validation and Synthetic Data Generation with Structured Extraction
Published reference architectures and production patterns for LLM validation pipelines, demonstrating deterministic entity extraction and automated synthetic dataset generation for enterprise NLP migration.
Requires careful calibration of validation thresholds to prevent infinite retry loops on ambiguous unparsable input.