JSON as a structured format for AI prompts

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Artificial intelligence can be controlled in a targeted manner through precisely formulated prompts. A structured format, clear API control, and optimized processing of large data volumes are essential for the efficient use of AI systems. This article explains key methods and concepts that play a role in working with AI, especially in communicating with large language models.

Structured data exchange with AI models is often achieved using JSON (JavaScript Object Notation) , as it provides a machine-readable and standardized representation. JSON allows prompts to be systematically transmitted to a model using key-value pairs to define clear instructions and metadata.

A well-formatted JSON prompt should define the roles within the dialog (e.g., user request and AI response) and specify the underlying model. chinese overseas africa database Ambiguous or unstructured input would be wrong , as this would not guide the model precisely and would lead to poorer responses.

Example of a correct JSON structure for AI communication:

This format ensures that the model correctly interprets and processes the user request.

How to correctly access ChatGPT via the API
The OpenAI API provides access to ChatGPT through HTTP requests, typically curl sent with or through other HTTP clients. An API request contains the necessary header information (e.g., the API key), the model to use, and the actual prompt.