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These are samples that you should feel free to steal and modify for your purposes as you see fit. I recently revised all the prompts I currently use and placed them in code blocks. You should be able to “one-click” copy the prompts by hovering your cursor over the box.
This guide shares strategies and tactics for getting better results from large language models (sometimes referred to as GPT models) like GPT-4. The methods described here can sometimes be deployed in combination for greater effect. We encourage experimentation to find the methods that work best for you.
Some of the examples demonstrated here currently work only with our most capable model, gpt-4. In general, if you find that a model fails at a task and a more capable model is available, it's often worth trying again with the more capable model.
Learn Prompt Engineering