你的 JSON Schema 是一个提示 - AWS Bedrock 结构化输出的技巧

📄 中文摘要

传递给大型语言模型(LLM)的 JSON Schema 不仅仅是一个结构性契约,它还是一个直接控制输出质量的提示。字段名称、描述、顺序和枚举值都能像系统提示一样引导模型的行为。设计得当可以获得可靠的优质输出,而设计不当则可能导致“结构有效的垃圾”。AWS Bedrock 最近推出了受限解码,确保响应符合 JSON Schema,但结构保证并不意味着质量保证。设计合适的 Schema 是确保高质量输出的关键。

📄 English Summary

Your JSON Schema Is a Prompt - Tips for AWS Bedrock Structured Output

The JSON schema provided to a large language model (LLM) serves not only as a structural contract but also as a prompt that directly influences the quality of the output. Field names, descriptions, ordering, and enum values guide the model's behavior similarly to a system prompt. Properly designed schemas yield reliable, high-quality outputs, while poorly designed ones can result in 'structurally valid garbage.' AWS Bedrock has recently introduced constrained decoding, which ensures responses adhere to a JSON schema; however, guaranteed structure does not equate to guaranteed quality. Designing effective schemas is crucial for achieving high-quality outputs.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等