A useful way to think about LLMs is as a well-read, tireless and eager-to-please ‘intern’ who often misunderstands and gets things wrong and so needs explicit guidance, context, steering and examples.

It seems as if not a week goes by in which the artificial intelligence concepts of deep learning and neural networks make it into media headlines, either due to an exciting new use case or in an ...