This is an example of knowledge transfer from a model. I used a similar approach to augment chunked texts with questions, summaries, and keyterms (which require structured output from the LLM). I haven't tried using a smaller model to do this as GPT3.5 is fast and cheap enough, but I like the idea of running a model in house to do things like this.