Assigning Confidences to LLM Outputs
LLM Outputs">
LLM inferences tend to be erratically wrong. So, 99% of the time the answer is correct but 1% of the time it may be wrong and wrong in a way that is hard to predict and account for. In TruU we have technologies beyond just calibration for...