Unverified50% confidenceFactExact time
The instructor library combined with Pydantic can implement automatic retries, automatically feeding error information back to the model and requesting regeneration when the model output does not conform to the Schema.
1
Sources
50%
Confidence
Long-term
Relevance
9/1/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedSupervised fine-tuning trains models to imitate correct answers labeled by humans, while reinforcement learning fine-tuning allows models to learn optimal strategies through trial and error.71% similarUnverifiedError messages should be written for the model to read and must be actionable, pointing out the actual mistake the model made rather than throwing raw parser errors, which can significantly improve the model's self-correction success rate.69% similarUnverified对于确定性逻辑故障（模型输出缺陷）应搭建自纠错闭环，把结构化报错信息回传给大模型重新生成参数69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/840326API
curl https://kongchang.com/api/v1/knowledge/claims/840326MCP
get_claim(id=840326)