Continued thoughts from Chris Mann as follow-ups to our recent article on automated prompt optimization (APO).
There are a number of automated prompt optimization (APO) techniques emerging that focus on improving the system/instruction prompt either as an activity that occurs before the prompt is put into production🚧 or a recursive feedback loop ➿ that evaluates the results of the prompt and provides suggestions to improve the system prompt based on those results. This is an interesting example of the former... 🚧 https://lnkd.in/e-hvszhN Here is an article I wrote that calls out a number of real-world production use cases 🛞for APO where these techniques could potentially be applied. https://lnkd.in/e5mVkabY