Ask the model to summarize AND compress the previous work every other prompt. This increases the amount of data in its context window.
Ask it to describe ideas in no more than 3 high-level concepts. Then select one and ask it to break it down to 3 sub-points, etc.
Start by asking it to break down your goal to verify it understands what you are trying to do before you ask it to execute. You can ask for positive and negative examples.
If you get a faulty reply, regenerate or edit your prompt, rather than critiquing it with a follow up prompt. Keep the context window as pure as possible.
A couple other important ideas:
Ask the model to summarize AND compress the previous work every other prompt. This increases the amount of data in its context window.
Ask it to describe ideas in no more than 3 high-level concepts. Then select one and ask it to break it down to 3 sub-points, etc.
Start by asking it to break down your goal to verify it understands what you are trying to do before you ask it to execute. You can ask for positive and negative examples.
If you get a faulty reply, regenerate or edit your prompt, rather than critiquing it with a follow up prompt. Keep the context window as pure as possible.