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Why is JSON handy for prompts?

 title: 'A macro shot of a polygonal, crystalline object with vibrant colors.'

Returning data in JSON format offers several benefits for prompts[1]:

  • It delivers output in a consistent style[1].
  • It focuses on the data you want to receive[1].
  • It reduces the chance of hallucinations occurring[1].
  • It makes it relationship aware[1].
  • You get data types[1].
  • You can sort it[1].

By prompting for a JSON format, it forces the model to create a structure and limit hallucinations[1]. Also, in real-world applications, there's no need to manually create this JSON format because the data can already be returned in a sorted order[1].

Space: LLM Prompting Guides From Google, Anthropic and OpenAI

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