Like the current top HN post suggests (https://eugeneyan.com/writing/llm-patterns/), we’re still discovering patterns that work well with LLMs.
That said, anecdotally - they already excel at being logic engines. Capable of filling in the gaps between instructions. Using their worldly knowledge or “common sense” to do so.
But ever so often, they’ll miss an important bit. And I have to be quite involved to catch that. Kinda defeats the purpose. Here, I think we can benefit from supervisor LLMs. A second layer, whose sole job is to ensure the output quality. A QA bot - essentially.
