![]() GPT can respond from a designated point of view (e.g., market researcher or expert in solar technologies) or in a specific coding language without you having to repeat these instructions every time you interact with it. This helps GPT understand which company you're writing or generating a response for, and can help it adjust its voice and tone accordingly. "Explain this topic for "ĭefining your audience and their level of understanding of a certain topic will help the bot respond in a way that's suitable for the target audience. This helps frame the bot's knowledge, so it knows what it knows-and what it doesn't. This can help if the AI keeps arriving at inaccurate conclusions. ![]() This makes the AI think logically and can be specifically helpful with math problems. Here are a few phrases that folks have found work well with OpenAI to achieve certain outcomes. Sometimes it's just about finding the exact phrase that OpenAI will respond to. GPT will take those requirements into consideration and return a prompt that you can then use on it-it's the circle of (artificial) life. I have a few needs: I need to understand the error, I need the main components of the error broken down, and I need to know what's happened sequentially leading up to the error, its possible root causes, and recommended next steps-and I need all this info formatted in bullet points. Here are a few examples of ways you can improve a prompt by adding more context:īasic prompt: I'm looking to create a prompt that explains an error message.īetter prompt: I'm looking to create a prompt for error messages. Think about exactly what you want the AI to generate, and provide a prompt that's tailored specifically to that. Just like humans, AI does better with context. If you do each of the things listed below-and continue to refine your prompt-you should be able to get the output you want. ![]() GPT prompt guide: 8 tips for writing the best GPT-3 or GPT-4 prompt If you notice the AI is stopping its response mid-sentence, it's likely because you've hit your max length, so increase it a bit and test again. Maximum length is a control of how long the combined prompt and response can be. The default of 0.7 is pretty good for most use cases. A higher score gives the bot more flexibility and will cause it to write different responses each time you try the same prompt. A lower score makes the bot less creative and more likely to say the same thing given the same prompt. Temperature allows you to control how creative you want the AI to be (on a scale of 0 to 1). ![]() It can be a lot to get the hang of, so to get started, I suggest playing with just two of them. The tips here are for GPT-3 and GPT-4-but they can apply to your ChatGPT prompts, too.Īs you're testing, you'll see a bunch of variables-things like model, temperature, maximum length, stop sequences, and more. GPT-3 and GPT-4, on the other hand, are a more raw AI that can take instructions more openly from users. ChatGPT, the conversation bot that you've been hanging out with on Friday nights, has more instructions built in from OpenAI. GPT-3 and GPT-4 aren't the same as ChatGPT.
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