Self-correction in LLM calls: a review
In the fast-evolving world of large language models, building reliable pipelines often feels like wrestling with a brilliant but unpredictable collaborator. From my own experiments shared on X (document generation workflows with structured outputs) I've repeatedly slammed into frustrating roadblocks.
For an example: You are prompting an LLM