#uncertainty quantification

'Google's RLM treats regression as language modeling, letting compact LLMs predict cluster performance directly from serialized logs and configs with high accuracy and uncertainty estimates.'

As AI becomes more widespread, uncertainty quantification emerges as a vital tool to build trust in AI outputs by highlighting prediction confidence and risks. Advances in computation are making this approach faster and easier to implement.