Should I use json format in the assistant content in my fine-tuning dataset if I want the fine-tuned model to return json output using the new json response format?

[Foxalabs]

Hi and welcome to the Developer Forum!

To train the model to always output json, you would include Q/A pairs where the Q is in plain text and the answer is json format, and do that for hopefully, thousands of examples.

As this is such a common request the latest preview models have json mode which can be enabled to offer this as a standard feature. It’s still in development but can work extremely well .

How do I use the new JSON mode?

Haven’t tested, but give this a try… Welcome to the community, chickenlord888! To use the new JSON mode in the OpenAI API with Python, you would modify your API call to specify the response_format parameter with the value { type: "json_object" }. This is how you tell the API that you want the response in JSON mode. Below is an example of how you might set up your API call in Python: import openai openai.api_key = 'your-api-key' response = openai.Completion.create( model="text-davinci-003…