LLMs suck at generating large, structured data. Tips on how to get your AI agent to do it reliably
Large language models struggle to reliably generate complex, structured data like JSON, often leading to missing fields, incorrect types, or hallucinated content. A more effective approach involves using tools that incrementally build the output, similar to an object-oriented programming builder pattern. This method prevents the model from needing to produce the entire structure at once, which is particularly beneficial when dealing with large documents that consume significant context window space. AI
IMPACT This pattern could improve the reliability of AI agents in producing structured data for production applications.