The Complete Prompt Engineering for AI Bootcamp (2024)
A series of study notes for the excellent Udemy Course: The Complete Prompt Engineering for AI Bootcamp (2024). on Udemy
Section 2:
Section 2 introduces Five Key Principles of good prompt engineering:
- Give Direction — Describe the desired style in detail, or reference a relevant persona.;
- Specify the output format — Define what rules to follow, and the required structure of the response.;
- Provide Examples — Insert a diverse set of test cases where the task was done correctly;
- Evaluate Quality — Identify errors and rate responses, testing what drives performance;
- Divide Labour — Split tasks into multiple steps, chained together for complex goals.
Using the teachings from the course, I crafted a slightly different example that illustrate these principles.
Unique Example Illustrating Five Prompt Principles
Unique Example of the Prompt Principles:
| Prompt Principle | Explanation | Additional Insight |
|---|---|---|
| Naive Prompt | Begin with a basic, straightforward prompt to outline what needs to be accomplished. | Starting with simplicity helps establish a clear, straightforward task for the LLM to perform. It acts as a foundation upon which you can build more complex instructions. |
| Give Direction | Offer detailed style guidelines or reference a specific persona. | Defining the style or referring to a persona helps guide the LLM to produce more focused and relevant results. Seed words can further steer the outcome. |
| Provide Examples | Include diverse test cases or examples to show successful task execution. | Examples set clear expectations and help the LLM understand the desired structure and output more effectively. Diversity in examples ensures better adaptability to varied prompts. |
| Evaluate Quality | Identify errors and systematically rate responses. Evaluate to discover what enhances performance. | Evaluating the output helps in identifying strengths and areas of improvement, allowing refinement of prompt strategies for better results. |
| Divide Labor | Break tasks into multiple steps to manage complex objectives. | Splitting tasks makes manageable segments, allowing for better issue tracking and more organized instruction sequences. |
Alternative Prompt Example Setup:
ExampleTheme: Market research on Inbound AI Voice Caller Assistants.
Naive Prompt
“Describe the features and benefits of AI voice caller assistants for customer service.”
Give Direction
“Describe the features and benefits of AI voice caller assistants in a way that captures the needs of busy small business owners who want to enhance customer service. Make it sound appealing and efficient.”
Specify Format
“List the features and benefits of AI voice caller assistants. Separate each feature and benefit with a bullet point.”
Provide Examples
"Provide features and benefits of AI voice caller assistants in this format:
- Feature: Accurate voice recognition Benefit: Reduces misunderstandings and errors
- Feature: 24/7 Availability Benefit: Never miss a customer call"
Evaluate Quality
"Rate the following features of AI voice caller assistants based on their innovation, potential impact, and user-friendliness. Use a scale from 1 to 5 for each, with 1 being the lowest and 5 being the highest:
- Feature: Voice command automation
- Feature: Real-time data analysis
- Feature: Multi-language support"
Divide Labour
“First, list the key features of AI voice caller assistants. Next, pair each feature with a concrete benefit for small business owners. Finally, create a table rating each feature on innovation, impact, and user-friendliness.”
Complete Example:
Naive Prompt: “Describe the features and benefits of AI voice caller assistants for customer service.”
Giving Direction: “Highlight how AI voice caller assistants can benefit small business owners by improving efficiency and customer satisfaction. Emphasize ease of use and reliability.”
Specifying Format: “List the features followed by the benefits, each separated by a bullet point.”
Examples Provided:
- Feature: Personalized customer interactions
- Benefit: Makes clients feel valued.
- Feature: Seamless call routing
- Benefit: Decreases wait times and improves caller satisfaction.
- Feature: Natural language processing
- Benefit: Enhances the accuracy of conversations and understandings.
Quality Evaluation: "Rate these features based on innovation, user impact, and ease of integration:
| Feature | Innovation | User Impact | Ease of Integration |
|---|---|---|---|
| Personalized Interactions | 4 | 5 | 4 |
| Seamless Call Routing | 5 | 4 | 4 |
| Natural Language Processing | 5 | 5 | 3 |
Dividing Labor: “Step 1: List features. Step 2: Attach each feature to a practical benefit. Step 3: Rate each feature’s innovation, impact, and integration challenges in a structured table.”
Output of the prompts for the Alternative Prompt Example
Naive Prompt:
“Describe the features and benefits of AI voice caller assistants for customer service.”
Output: AI voice caller assistants are great for customer service because they use advanced technology to understand speech and can assist customers 24/7 without any breaks. They can handle multiple calls at once and provide quick answers to common questions, which improves customer satisfaction.
Giving Direction:
“Highlight how AI voice caller assistants can benefit small business owners by improving efficiency and customer satisfaction. Emphasize ease of use and reliability.”
Output: For busy small business owners, AI voice caller assistants are a game-changer. They streamline call handling by accurately recognizing and responding to customer requests, which reduces wait times and mistakes. Their efficiency and round-the-clock availability mean no missed calls and happier customers. They are easy to set up and reliable, ensuring non-stop operation and boosting your customer service quality without a huge investment in additional staff.
Specifying Format:
“List the features followed by the benefits, each separated by a bullet point.”
Output:
- Feature: Voice recognition technology
- Benefit: Quickly understands customer needs, leading to faster resolutions.
- Feature: Round-the-clock availability
- Benefit: Ensures customer service is always reachable, improving reliability.
- Feature: Handling multiple calls simultaneously
- Benefit: Reduces customer wait time and prevents loss of potential clients.
- Feature: Automated follow-ups
- Benefit: Keeps customers engaged and informed without additional effort.
Examples Provided:
"Provide features and benefits of AI voice caller assistants in this format:
- Feature: Accurate voice recognition
- Benefit: Reduces misunderstandings and errors
- Feature: 24/7 Availability
- Benefit: Never miss a customer call"
Output:
- Feature: Accurate voice recognition
- Benefit: Reduces misunderstandings and errors.
- Feature: 24/7 Availability
- Benefit: Ensures no customer call is ever missed.
- Feature: Multi-language support
- Benefit: Cater to a diverse customer base seamlessly.
- Feature: Integration with CRM systems
- Benefit: Provides personalized customer experiences by using data effectively.
Quality Evaluation:
"Rate the following features of AI voice caller assistants based on their innovation, potential impact, and user-friendliness. Use a scale from 1 to 5 for each, with 1 being the lowest and 5 being the highest:
- Feature: Voice command automation
- Feature: Real-time data analysis
- Feature: Multi-language support"
Output:
| Feature | Innovation | User Impact | Ease of Integration |
|---|---|---|---|
| Voice command automation | 4 | 5 | 4 |
| Real-time data analysis | 5 | 5 | 3 |
| Multi-language support | 5 | 5 | 4 |
Dividing Labour:
- Step 1: List key features;
- Step 2: Pair each feature with a concrete benefit for small business owners;
- Step 3: Create a table rating each feature on innovation, impact, and user-friendliness.
Output:
- Key Features:
- Voice recognition technology
- 24/7 Availability
- Handling multiple calls simultaneously
- Automated follow-ups
- Paired Benefits:
- Voice recognition technology: Quickly understands customer needs, leading to faster resolutions.
- 24/7 Availability: Ensures customer service is always reachable, improving reliability.
- Handling multiple calls simultaneously: Reduces customer wait time and prevents the loss of potential clients.
- Automated follow-ups: Keeps customers engaged and informed without additional effort.
- Evaluation Table:
| Feature | Innovation | User Impact | Ease of Integration |
|---|---|---|---|
| Voice recognition technology | 4 | 5 | 4 |
| 24/7 Availability | 5 | 5 | 4 |
| Handling multiple calls | 5 | 5 | 3 |
| Automated follow-ups | 4 | 4 | 3 |
Mindmap of Section
Expand and collapse below.
- PEBootcamp
S2 | 5 Principles- We can do nieve prompt
- Not very reliable
- Work towards creating a prompt template
- Reuseable
- Can change the variables
- We apply 5 prompt principles
- 1. Give Direction
- In the style of
- Name a person
- Describe the style using text
- 2. Specify Format of Output
- Define what rules to follow, and the required structure of the response.
- 3. Provide Examples
- Insert a diverse set of test cases where the task was done correctly.
- 4. Evaluate Quality
- Identify errors and rate responses, testing what drives performance.
- 5. Divide Labour
- Split tasks into multiple steps, chained together for complex goals.
TL;DR
- Understand the five key principles of prompt engineering.
- Gain practical insights from a recent bootcamp.
- Enhance your AI prompt crafting skills.
- Ideal for AI enthusiasts and developers.
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References
This prompt journal is based on the following excellent resource.
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