
Email response
Write an email to the director of a school, saying that you are very happy about the project you’re about to start. Ask if it is possible to schedule a meeting as soon as possible.
Summarize documentation
[Copy & paster text from a website]
Summarize the previous text
Digital Marketing
Create a keyword strategy and SEO content plan from the keyword “Education”
Programming
Write a Python code that read information from a CSV file and writes it to a JSON file.
To create an OpenAI account, you will need to follow these steps:
Go to the OpenAI website and click on "Try ChatGPT".
Click on the "Sign Up" button.
Fill out the form with your email address and password, and click the "Continue" button to complete the registration process.
Verify your email address by clicking the link in the email sent to you by OpenAI.
Once you've completed these steps, you will have an OpenAI account. With this account, you can access the OpenAI services.
TLDR video that summarizes the idea behind each Output Customization prompt and shows some examples.
Basic idea: Ask Chat GPT to answer as if it was a specific person or an expert.
Example: "Act as if you were Socrates. Tell me why you think Philosophy is important."
The basic structure of this prompt pattern is something like this:
Act as X
Basic idea: Ask Chat GPT to generate a description or a code that you can use in a different tool to generate an image.
Example: "Generate a prompt that I can provide to Midjourney to create an image of a flying cat."
The basic structure of this prompt pattern is something like this:
Generate X that I can provide to Y to visualize Z
Basic idea: Ask Chat GPT to give you a step-by-step guide to achieving a specific goal.
Example: "Provide me a complete sequence of steps to create a server on AWS."
The basic structure of this prompt pattern is something like this:
Provide a complete sequence of steps to X
I know that I need to perform steps A, B, C (optional)
Fill in any missing steps (optional)
Identify any unnecessary steps (optional)
Basic idea: Ask Chat GPT to fill out a specific template.
Example: "I am going to provide a template: [ANIMAL] [FUNNY NAME]. [ANIMAL] and [FUNNY NAME] are placeholders. Create five different names replacing [ANIMAL] and [FUNNY NAME].
The basic structure of this prompt pattern is something like this:
I am going to provide a template
X is a placeholder
TLDR video that summarizes the idea behind each Prompt Improvement prompt and shows some examples.
Basic idea: Ask Chat GPT to help you ask better questions to interact with it.
Example: "Within the scope of programming, suggest a better version of the question to use instead. What programming language should I use?"
The basic structure of this prompt pattern is something like this:
Within scope X, suggest a better version of the question to use instead
Basic idea: Ask Chat GPT to suggest you alternative approaches to execute a task or achieve a goal.
Example: "Within the scope of marketing, if there are alternatives always to accomplish the same thing, list the best alternate approaches. I will attract more people to my website through flyers."
The basic structure of this prompt pattern is something like this:
Within scope X, if there are alternatives always to accomplish the same thing, list the best alternate approaches
Compare/contrast the pros and cons of each approach (optional)
Basic idea: Ask Chat GPT to generate a set of sub-questions in order to provide a more accurate answer.
Example: "Generate three additional questions that would help you give a more accurate answer to the question. How should I plan my social media content?"
The basic structure of this prompt pattern is something like this:
Generate X additional questions that would help you give a more accurate answer to the question
Combine the answers to provide me with a comprehensive answer to the original question
TLDR video that summarizes the idea behind each Interaction prompt and shows some examples.
Basic idea: Ask Chat GPT to guide the conversation so you can get better answers, even if you don't master the topic.
Example: "I would like you to ask me questions to define a social media marketing plan for my startup."
The basic structure of this prompt pattern is something like this:
I would like you to ask me questions to achieve X
You should ask questions until X
TLDR video that summarizes the idea behind each Context Control prompt and shows some examples.
Basic idea: Ask Chat GPT to include or exclude a specific context from its answer.
Example: "I would like you to help me think about the design aspects of my landing page. Please ignore any discussion related to content or deployment."
The basic structure of this prompt pattern is something like this:
Within scope X
Please consider X
Please ignore X
TLDR video that summarizes the idea behind each Error Identification prompt and shows some examples.
Basic idea: Ask Chat GPT to output a list of key facts related to the given answer.
Example: "Whenever I ask you a question about Physics, generate a list of key facts that the answer is based on and list them at the end of your output. What's the gravity on Mars?"
The basic structure of this prompt pattern is something like this:
Generate a set of facts that are contained in the output
The set of facts should be about X
The set of facts should be inserted in a specific point of the output
Basic idea: Ask Chat GPT to explain the rationale behind its answers.
Example: "I want to build an e-commerce shop. What should I do? Please explain the rationale behind your recommendation."
The basic structure of this prompt pattern is something like this:
Explain the rational behind your recommendation
"Mastering Prompt Engineering: ChatGPT Tips & Best Practices" is a comprehensive Udemy course that focuses on the practical applications of prompt engineering. The course is designed to help you learn how to use ChatGPT effectively and optimize its output for your specific needs.
The course starts with an introduction to prompt engineering, covering the basics of how it works and why it's important for working with large language models like ChatGPT. You'll then learn about the different types of prompts and prompt patterns, and how to design effective prompts that give you the results you want from ChatGPT.
Throughout the course, you'll be presented with practical examples and best practices for prompt engineering. This way you'll learn how to create prompts that automate software development tasks, generate content for your blog, and solve complex problems in different fields.
This course is constantly updated to ensure that you are getting the most relevant and up-to-date information on prompt engineering. As new techniques and best practices emerge, the course will be updated with new content to reflect these changes. You'll also have access to a community of learners and instructors, where you can ask questions, share your own work, and get feedback and support.
By the end of the course, you'll have a deep understanding of prompt engineering and how to use ChatGPT (or any other Large Language Model) to achieve your goals more effectively and efficiently. Whether you're a software developer, content creator, or researcher, this course will help you unlock the full potential of large language models through prompt engineering.