ChatGPT is insanely powerful.
But only if you write proper prompts.
Here are the most useful ChatGPT prompt techniques (all new):
A thread 🧵
1. Generate responses table format.
Super easy to do- yet we still get a ton of questions on how to do it.
Prompt: “Create a table for top AI tools. Include the following columns: Name, Category, and Oneliner. Here are the Tools that I want to summarize: [tools]”
2. Simulate an expert.
You can get ChatGPT to become an expert in a given subject.
Then, you can engage in conversation or request it to produce content from the perspective of that specific character.
In this example, we turned ChatGPT into a Harvard Marketing graduate:
Prompt: "As a Harvard Marketing graduate and skilled content creator, guide me in crafting social media content that resonates with AI enthusiasts. Emphasize uncommon and expert questions to ask"
Before we move on, we created a document on the most advanced ChatGPT techniques that goes even more in-depth than this thread.
(Plus, you can copy and paste all of this)
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3. Create unique business ideas.
Generating lists with ChatGPT is straightforward.
Ask ChatGPT to suggest innovative angles or perspectives.
Prompt: "Generate unique angles or strategies for the topic 'How to increase your creative output.' Emphasize innovative ideas."
4. Train ChatGPT to write its own prompts for you.
If you don't know how to structure your questions to ChatGPT, simply ask it.
Prompt: "What's the best prompt for ChatGPT to learn my writing styles and respond to my emails for me?"
5. Train ChatGPT on your email writing style, and respond to emails in your tone.
We went in-depth on this technique here👇
6. Change the temperature.
Temperature controls the randomness or diversity of the generated outputs.
-A high temperature of 1.0 or above will make ChatGPT more creative.
-A low temperature of 0.1 or lower will make ChatGPT more conservative.
Here are two examples we did.
The same prompt, but the first example with a high temperature, and the second with a low temperate
As you can see, we get very different results:
That's it for now! If you found this useful:
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