Summarization is one of those key functionalities of LLMs that laypeople can also easily understand and relate to. I think this article also underpins the hunc

Summarization is one of those key functionalities of LLMs that laypeople can also easily understand and relate to. I think this article also underpins the hunch that results in ROUGE and similar NLP benchmarks are not necessarily a guarantee for good performance in sector-specific summarization tasks, where the expectations are defined by human users for a specific domain. It reminds me of the Stanford study on the use of LLMs for legal QA including the eye-wateringly expensive legal-specific LLMs: https://hai.stanford.edu/news/ai-trial-legal-models-hallucinate-1-out-6-or-more-benchmarking-queries https://hai.stanford.edu/news/ai-trial-legal-models-hallucin...