Nobody has to remember that. But you should know that these language models are based on natural language. LLMs are machine learning models. But they generate human-like texts, and that’s precisely why they work so well.
Prompts are a new form of code that is entered as text and delivers instant results. This makes us all coders— no specialist knowledge required.
For users of Prompt Engineering (and we should all become familiar with it): We have to ensure that the texts we generate achieve the desired goals.
So embrace the benefits of prompt engineering, but also be aware of the limitations of generative AI. If the prompt isn’t good, the results aren’t good either.
Lastly, let’s look at another example of prompting. To do this america phone number list successfully and give us good results, stick to the three principles described above.
Here are a few prompt types to get you started – all created with the free version of ChatGPT.
The Pareto Principle Prompt:
“I want to learn about [insert topic (we said “daffodils”)]. List the top 20% of insights on this topic and share them with me, so I can understand 80%.”
The Pareto Principle Prompt is a practical way to find out more about a topic.
The Power Networking Prompt (Perfect for Cold Emails)
Prompt: “Give me a cold calling email chain with parenthetical sections that can be customized to specific people or companies.”
Perhaps a bit more content than necessary, but definitely useful as a starting point and can be used as inspiration. You can always click “Regenerate Response” to revise the output text, or Enter “shorten” as a prompt if the output is too long for you.
Peak into the Mind of Leaders
Tap into the collective wisdom of the top Fortune 500 CEOs with this prompt. We entered “green energy”.
“Interview a team of CEOs from Fortune 500 companies on [TOPIC/QUESTION]. Create instructions and strategies to make [TOPIC/QUESTION] possible as if these CEOs answered them.