Structured Outputs Create False Confidence
4 months ago
- #structured-outputs
- #AI-quality
- #LLM
- Structured outputs force models to prioritize conformance over quality, leading to lower response quality.
- Using structured outputs APIs can result in more mistakes, incorrect error modeling, and difficulties with chain-of-thought reasoning.
- Constrained decoding in structured outputs limits the model's ability to produce accurate responses by filtering allowed tokens.
- Free-form output parsing allows LLMs to respond naturally, improving quality and enabling better reasoning and error handling.
- Structured outputs create false confidence by sacrificing response quality for format compliance.