
Prompt Engineering for Technical Writing 101
Journey through the history and Development of Large Language Models (LLMs) and Chatbots like ChatGPT.
Are you a technical educator or content creator struggling to keep up with the fast-paced demands of your industry? Do you wish to harness the capabilities of AI tools like ChatGPT but feel overwhelmed by their complexities? Our comprehensive course in ChatGPT Prompt Engineering is your solution!
This course is part of the Learning Prompt Crafting series. We will cover each development and provide a quick overview, explaining how each relates to using AI Chatbots.
-
Chapter 0: Start Here
-
Welcome
Are you a technical writer or content creator struggling to keep up with the fast-paced demands of your industry? Do you wish to harness the capabilities of AI tools like ChatGPT but feel overwhelmed by their complexities? Our comprehensive course in ChatGPT Prompt Engineering is your solution!
-
Course Overview
Welcome to "Prompt Engineering for Technical Writing," a comprehensive course designed to equip you with the skills and insights needed to effectively utilize AI, specifically ChatGPT, in your technical writing projects.
Each lesson begins with clear outcomes, ensuring you understand the goals and can immediately apply what you learn to real-world scenarios. This structure helps you maintain focus throughout the course and measures your progress against specific objectives.
-
About The Author
Quick Introduction - Steve Young
-
-
Chapter 1: The Generative AI Revolution
-
A Brief History of Generative AI
Understanding the Evolution of AI and Chatbots - By the end of the lesson, learners will be able to explain the chronological progression of AI development from the early stages of machine learning to the current state of advanced chatbots and large language models.
-
Watch Out For Hallucinations
One important factor to consider is the underlying functionality of these AI tools. They primarily operate by predicting word strings that are likely to match the given query based on patterns and examples in the data they were trained on. However, it is essential to remember that these models are next-word predictors and do not possess the ability to apply logic or fact-check information.
-
Security and Ethical Considerations
Prompt engineering with large language models like ChatGPT involves potential security and governance risks that must be managed. As AI systems become more advanced, they become more vulnerable to various attacks and misuse.
-
Prompt Crafting For Technical Writing
As an experienced technical writer with a deep understanding of adult learning education theory and practices, I'm excited to explore ChatGPT’s potential in technical writing. This powerful language model has already demonstrated its capabilities in various domains, and its application in technical writing is particularly intriguing.
-
-
Chapter 2: The 5 Step Prompt Engineering Framework
-
The 5 Step Prompt Engineering Framework
Dive into a structured approach to crafting prompts that guide ChatGPT in producing desired outcomes. These lesson breaks down the process into five actionable steps, providing a clear framework that can be applied to any technical writing task. The outcomes focus on mastering each step of the framework, enabling you to improve interaction with AI tools and enhance productivity and effectiveness in your projects.
-
Prompt Engineering vs Prompt Crafting
In prompt engineering, being concise and precise is key. A well-crafted prompt should provide enough information for ChatGPT to understand the user's intent without being too wordy. Striking the right balance between clarity and brevity is crucial.
-
Step 0: Starting Point
Over the following few steps, we will review how best to utilize ChatGPT in your technical writing workflow by working through an example. I have put this “Technical Writing Framework” together based on the community, documentation, samples, and what I have learned from creating my own technical content and learning materials.
-
Step 1: Define the Persona of the AI (Identity)
In ChatGPT prompts, a persona is the language model’s assigned Role identity or character. It shapes the tone, style, and behavior of the generated responses. Creating a persona is like defining the AI assistant’s personality, allowing you to guide responses to align with a specific role or perspective. This can be a friendly customer support agent, expert, creative writer, or any desired persona.
-
Step 2 – Define Your Profile and Audience
If you have a specific brand you have developed, you can also design the Persona to align with your brand’s image, voice, and messaging. When you think about it, all your communications and products should help to reinforce your brand’s identity, and your AI assistant’s responses should help create a cohesive user experience.
-
Step 3 – Define the Project Scope, Goals, and Type of Content
We need to define the primary goals of your project’s output clearly. This could include providing a comprehensive guide, explaining a specific concept, or offering troubleshooting assistance. A well-defined purpose will help you create focused and compelling content.
-
Step 4 – Define The Content Formatting and Structure
The guidance you provide through content formatting and structure adjusts your content’s organization, readability, and clarity. Using these guidelines can help you create the overall design and presentation of your writing, leading to increased effectiveness and readability.
-
Step 5 – Post Processing – Adding the Iterative Conversation
This next step falls into the category of post-processing. This involves taking the raw output from the AI and applying additional modifications or enhancements to refine the content. This is especially useful in producing technical content, where precision, clarity, and detail are paramount.
-
Conclusion and Next Steps
Crafting effective prompts is key to maximizing AI tools like ChatGPT. This "Tips and Tricks" section provides practical strategies for better interactions, including using a conversational style, adding context, experimenting with formatting, and leveraging specificity. You'll also learn how to refine prompts, organize reusable libraries, and stay updated on industry trends. These insights will help you create clearer, more precise, and impactful AI-driven content.
-