First the LLM needs to know what it doesn't know, and it looks like except for the explicit limitations embedded by the developers it isn't capable of doing that. When I asked ChatGPT about its own model variants, it gave me wild answers for things that made sense but didn't exist.

"""

There are several variants of GPT-3 model, each fine-tuned for specific tasks or industries. Here are a few examples:

- GPT-3 "davinci" is fine-tuned for creative and imaginative writing tasks, such as poetry, short stories, and song lyrics.

- GPT-3 "curie" is fine-tuned for conversational and dialog generation.

- GPT-3 "babbage" is fine-tuned for code generation and language understanding.

- GPT-3 "einstein" is fine-tuned for question answering tasks.

- GPT-3 "jules" is fine-tuned for summarization.

- GPT-3 "parliament" is fine-tuned for legal text generation.

- GPT-3 "bronte" is fine-tuned for creative writing tasks like storytelling and fiction-writing.

"""

I'd almost assume "parliament" it's a leak of some sort if any of the other examples (except for davinci) were accurate.