Meryem Akrout and Alejandro Bonell, Data Scientists | May 9, 2023
The success of Large Natural-Language Models (LLMs) has been getting more and more dramatic during recent years. It has, even, led to a torrent of new AI applications outside of the NLP field. Alas, this success is afflicted by the models’ inability to prove that their predictions were made on good premises. We know their inputs, outputs, and how likely it is for the outputs to be correct, but we still don’t have a clear understanding of what happens in between.