I have never tried this, but I'm wondering how effective the following approaches would be to measure uncertainty and unknowns in responses: https://cookbook.o

I have never tried this, but I'm wondering how effective the following approaches would be to measure uncertainty and unknowns in responses: https://cookbook.openai.com/examples/using_logprobs https://cookbook.openai.com/examples/using_logprobs According to OpenAI official cookbook it seems to be a fairly standard usecase. Another approach, especially in classification, would be to measure the cosine distance between the user embedding, and the ideal embedding of the message category.