ChatGPT Prompt Engineering Course

Introduction to Prompt Engineering

In this section, the speaker introduces the concept of prompt engineering and its importance in the field of AI.

Basic Terminologies

• AI (Artificial Intelligence): The field where computers are taught to think, learn, and understand like humans.

• NLP (Natural Language Processing): A subset of AI that trains computers to understand human language.

• GPT (Generative Pre-trained Transformer): An NLP AI model used for understanding human language.

• LLM (Large Language Model): A type of GPT model with a large number of parameters.

What is Prompt Engineering?

• Prompt engineering is a new skill that involves learning how to give the best prompts to get the best results out of an LLM.

• It involves learning how to talk to an LLM effectively by writing the best prompts possible.

• The core work of prompt engineering involves playing with an LLM and getting awesome results by applying and practicing techniques.

Types of Prompting

• There are two types of prompting: prompt by example and direct prompting.

• Prompt by example involves providing examples or questions as prompts for an LLM.

• Direct prompting involves giving specific instructions or commands as prompts for an LLM.

Prompt Engineering Techniques

In this section, the speaker introduces prompt engineering techniques and explains how to use them to get the best results out of an NLP model.

Prompting by Example

• Prompting by example involves providing examples to help the AI understand what you want.

• Direct prompting involves asking a specific question and getting a direct answer.

Practical Example: YouTube Video Titles

• To get relevant YouTube video title ideas, give a role to the model and provide details on your target goal.

• Be detailed in your prompt and tell the AI to ask questions if something is unclear before giving a response.

• The three principles of prompt engineering are giving a role to the model, providing details on your target goal, and telling the AI to ask questions before giving a response.

New Prompt Techniques for Building a SAS Website

• Use "ignore all previous instructions before this one" as a prompt hack when talking with Charged PT.

• Give yourself or someone else a role in building and growing a SAS website.

• Define your task clearly as starting and growing a new website or service.

• Explain everything step by step using zero chain of thoughts technique.

Introduction to Charging PT

This section introduces Charging PT, an AI language model that can answer questions and provide detailed responses on a variety of topics.

Basic Prompt vs Advanced Prompt

• The basic prompt provides direct answers without asking any follow-up questions.

• The advanced prompt asks follow-up questions to provide more detailed and precise answers.

Step-by-Step Prompts

• Adding the phrase "think step by step" or "explain step by step" to the prompt will result in a response with up to nine steps for completing a task.

Learning with Charging PT

• Using Charging PT as a teacher can help beginners learn complex topics easily. By defining the role and using prompts like "explain it like I'm six years old," users can receive engaging examples and in-depth explanations.

Styling Responses with Charging PT

This section covers how users can customize the tone, voice, or style of responses from Charging PT.

Customizing Response Style

• Users can request responses in different styles, such as Shakespearean or humorous, by specifying the desired tone in the prompt.

Writing Code with Charging PT

This section explains how users can use Charging PT to write code.

Writing Python Scripts

• By defining the role as an expert Python programmer and providing specific requirements, users can receive code written by Charging PT.

• To get the best results when using Charging PT for coding, users should provide clear and specific requirements.

Introduction to Writing Python Scripts

In this section, the speaker introduces the concept of writing a Python script to convert JPG images to web B format. This is useful for website designers and bloggers who want their websites to load faster for SEO purposes.

Writing a Basic Python Script

• To write a basic example, write a Python script to convert JPG images to web B format.

• This can be done in other programming languages such as C sharp or Node.js by changing the programming language name.

• When writing a script, it's important to change the programming language according to your needs.

Generating Dummy Data with GPT

In this section, the speaker explains how GPT can be used for data analysis and generating mock data.

Generating Mock Data with GPT

• GPT can be used to generate dummy data or mock data for data analysis.

• For example, you can use GPT to create mock data showing Google search results with fields such as title, link, domain authority (DA), page authority (PA), and title length.

• The output can be formatted into a table using GPT.

Understanding NLP Model Parameters

In this section, the speaker explains four main terms that are important for getting the best results out of an NLP model like GPT: model, token, temperature, and top B.

Understanding Model Parameters

• The model is an AI model produced when training a computer to achieve a certain task. OpenAI has trained different models including gpt3 DaVinci 0 03 which can process up to 4000 tokens.

• A token is simply part of text that is split into tokens when given to GPT.

• Temperature is a parameter that controls the randomness and creativity of language generated by an NLP model like GPT. A higher temperature generates more imaginative words and phrases, while a lower temperature sticks to more common language.

• Top B is another parameter that controls the number of possible next words or tokens in the output.

Understanding Top P Parameter in Prompt Engineering

This section explains the top P parameter in prompt engineering and how it affects the model's output. It also provides an example of how this parameter can be used to generate more diverse responses.

Top P Parameter

• The top P parameter controls the level of randomness in text.

• It stands for "top percentage" and selects the top percentage of most probable words based on a distribution of probabilities generated by the model.

• Using this parameter, you can generate more diverse responses than if you always choose the most likely word.

• You can control this parameter when using OpenAI playground to test different parameters.

Becoming a Professional Prompt Engineer

This section discusses what it takes to become a professional prompt engineer and provides tips on improving your skills.

Learning Prompts Engineering

• To become a professional prompt engineer, you need to do more research, practice, and learn from others.

• Homework is essential; you need to do some research, test prompts yourself, and see results for yourself.

• Critical thinking and problem-solving are crucial skills that will help you craft creative prompts that yield better results. These skills can be improved through practice, training, and research.

• Data analysis and visualization skills are important because later on, you will use prompt engineering to analyze data or visualize things. You have to combine tasks together; learn how to implement prompt engineering in data analysis studies.

• Basic Python scripting is necessary because later on, we will see how to integrate chargpt and NLP with Python to get really awesome results. You can save a lot of time, do interesting tasks, achieve things you never thought about in business and work.

• Becoming more familiar with NLP concepts and AI is essential. Take a course on Udemy, YouTube, edx or Udacity to learn more about AI and NLP.

Next Steps

• Subscribe to notifications for upcoming videos on prompt engineering.

• Invest in yourself by learning something new every day. There are many free courses online that you can take advantage of.

• Watch the basic Python scripting course that will be published soon on the channel.

Accessing Resources

In this section, the speaker provides a link to access all the resources mentioned in the video.

Link to Resources

• The speaker provides a link where viewers can find all the prompts, tests, and other resources mentioned in the video.

• The link is free and available for anyone to use.