Prompt Engineering Guide

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Guide To Prompt Engineering Basics:

Here’s a detailed guide on how to interact with Large Language Models like ChatGPT, GPT-4, Bard, etc:

  1. Be Specific: The more specific you are with your questions or prompts, the better the model can generate a relevant response. For example, instead of asking “What’s the weather like?”, you could ask “What’s the weather like in New York City on May 14, 2023?”.
  2. Provide Context: If your question or statement refers to something mentioned earlier in the conversation, make sure to include enough context so the model can understand. For example, if you’re asking a follow-up question, briefly summarize what you’re referring to.
  3. Use Correct Syntax: Large language models like ChatGPT understand natural language, so you can write to them just like you would write to a human. However, using correct grammar, punctuation, and spelling can help the model understand your input better and generate a more accurate response.
  4. Ask for Clarification: If the model’s response is unclear or seems incorrect, don’t hesitate to ask for clarification or more information.
  5. Experiment with Different Approaches: If you’re not getting the response you want, try rephrasing your question or providing more information. Different inputs can lead to different outputs.
  6. Understand the Model’s Limitations: Remember that while large language models are powerful, they don’t know everything. They don’t have access to real-time or personal data unless it has been shared in the conversation. They also can’t perform tasks outside of generating text, like making phone calls or browsing the internet.
  7. Use Tools and Features: Many interfaces for large language models offer additional tools and features. For example, you can use system messages to set the behavior of the assistant, or use the “Wolfram” tool to access dynamic computation and curated data.
  8. Respect the Guidelines: Always follow the guidelines provided by the platform you’re using. This includes not using the model to generate inappropriate or harmful content.
  9. Give Feedback: If the platform allows it, providing feedback on the model’s responses can help improve its performance over time.
  10. Enjoy the Interaction: Lastly, have fun! Interacting with a large language model can be a unique and interesting experience. Enjoy the process of exploring what the model can do.

How Can I be Good at Prompt Engineering?

First of all, study the prompt engineering guide above.

2nd, you can ask GPT-4 this question (this is a great idea, ironically, haha)

Also, we suggest taking a course on prompt engineering.

What are The Basics of Prompt Engineering?

The basics are: be specific, give as much context as you can, and be intentional with the language you use.

Checkout Prompt Engineering Tools

Is prompt engineering hard?

Nah, it is just a new skill for, well, EVERYONE, and anything new can seem overwhelming as you first start to learn it.

Here are some Prompt Engineering Examples to get you started.

How much do AI prompt engineers make?

This varies greatly.  We’ve seen job posts of $300k+/yr, but I wouldn’t bank on this type of income were I you.

How to Make Money with Prompt Engineering?

There are basically unlimited ways to make money with prompt engineering because the applications of LLM’s like GPT-4 span across so many areas of human endeavors…

You can make money with Prompt Engineering by becoming better & faster at your job.

You can make money with Prompt Engineering by improving your business.

You can make money with by getting a prompt engineering job.

…ETC

One idea: