I default to immediately asking GPT4 to review its solution and fix any mistakes it finds.
There’s also an interesting paper about providing it guidance that it can make a “tree of thoughts” which allows it to move forward and backwards as it comes up with solutions then present its best solution to you. The paper suggests you can squeeze a lot more performance out of LLM’s (even smaller ones) this way. I’ve been wanting to experiment with my prompting in this fashion: https://arxiv.org/pdf/2305.10601.pdf
There’s also an interesting paper about providing it guidance that it can make a “tree of thoughts” which allows it to move forward and backwards as it comes up with solutions then present its best solution to you. The paper suggests you can squeeze a lot more performance out of LLM’s (even smaller ones) this way. I’ve been wanting to experiment with my prompting in this fashion: https://arxiv.org/pdf/2305.10601.pdf