The Batch from Andrew Ng and DeepLearning.ai is one of the better AI newsletters out there.
In this issue, he talks about how “people are posting text online that’s intended for direct consumption not by humans, but by LLMs (large language models).”
I find myself doing this all the time with our internal documentation. People aren’t going to read it when I write it (or probably ever). But when they need the answer, they’re going to ask our AI RAG librarian.
So, I’m writing the content for the AI and not for the human. The AI will then write for the human.
The AI needs to be able to find the right answer and package it properly for the human.
When I create new content, I write it with the AI in mind. When the AI gives the wrong answer but the content is there, I rewrite the content and test it until it gives the right answer.
Writing for the AI is different from writing for a human. It needs clarity, simplicity, and structure.
If you give the AI what it needs, then its outputs are more likely to be what you need.
