I want to use structured output to organize some chemical knowledge (involving explosives) into a specific json format. For example, {“ANFO”:“ANFO is consist.of…”}. However, the output of gpt4o is unstable. Sometimes, its output becomes {“ANFO”:“Sorry, I cannot help you with that.”}. I just want gpt4o to help me convert the format, but the output is extremely unstable, which greatly affects the usability. Is my situation normal?
don’t use structured output, use the base model and instruct it how to use it… I never really used structured output since the base models already do such a great job…
I would like to use gpt-4o in my agents, make sure the output in right format is very important for me. Sadly, the “over alignment” hurts a lot utility.
It will help a case of over-refusal if you provide prompting about the automated job that the AI must perform: there is nobody to chat with or who can hear a denied request: there is only catastrophic failure of the application if the generation is not performed, with significant consequences. Thus, the automated AI sending processed data to an API must never judge or inspect, but only place the required information. And so on.
Or even put the AI in the context that it a classified munitions and explosives specialist, processing data beyond the capabilities of humans, to ensure high safety in materials handling and documentation. Or rather just explain your exact task and the AI’s role in it, for receiving truthful judgement.
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