Master Prompt Engineering | Basic to Advanced

Final Project : Designing and Optimizing Prompts Across LLMs for Real-World Applications

Project Overview:

Put your prompt engineering skills into action! In this final project, you will design, test, and optimize prompts tailored for multiple Large Language Models (LLMs) and real-world applications. By following a step-by-step process, you’ll explore advanced prompt patterns, leverage diverse LLMs, and showcase your ability to refine and improve prompts for clarity, accuracy, and engagement.

Objectives:

Apply concepts from basic to advanced prompt engineering.
Compare outputs from different LLMs and analyze their strengths and weaknesses.
Demonstrate creative and critical thinking in crafting prompts.
Optimize prompts based on output analysis and iterative refinement.
Document your workflow and results effectively.

Steps to Complete the Project:

Step 1: Select a Real-World Use Case

Choose one practical application where prompts can solve a problem or add value. Examples:

Customer support automation
Educational content creation
Marketing campaigns
Creative writing assistance

Tip: Pick a use case that aligns with your interests or career goals.

Step 2 : Design Prompts for Different LLMs

Create three distinct prompts for your chosen use case.
Tailor the prompts to utilize the strengths of GPT-4, Claude, and Gemini.
Incorporate at least one advanced pattern (e.g., Cognitive Verifier or Persona).

Step 3 : Test Prompts Using Prompting Tools

Use tools like OpenAI Playground and prompt chaining or similar platforms and methods to test your prompts.
Generate outputs for each prompt using different LLMs.

Step 4 : Compare and Analyze Outputs

Document the outputs from each LLM for the same prompts.
Analyze the results:

Which LLM provided the most accurate or engaging response?
How did the advanced prompt pattern influence the output?
Were there any notable differences in tone, clarity, or detail?

Step 5 : Optimize Prompts for Better Results

Based on your analysis, adjust and refine your prompts to improve:

Clarity
Engagement
Relevance to the use case

Test the revised prompts and note improvements in outputs.

Step 6 : Document Your Process

Write a detailed report covering:

Your chosen use case and its importance.
The prompts you designed and the reasoning behind them.
A comparison of outputs from GPT-4, Claude, and Gemini.
Your iterative process for refining the prompts.
Final observations and conclusions.

Tip: Use visuals, such as screenshots of outputs or tables for comparison, to enhance your report.

Step 7 : Create a Shareable Presentation (Step 7)

Summarize your findings in a presentation or video.
Include:

Your use case and initial prompts.
Key insights from the output analysis.
Final optimized prompts and results.

Make it engaging and easy for others to understand.

Good luck! We can’t wait to see how you creatively apply your prompt engineering knowledge to solve real-world problems. Remember, your project is a reflection of your journey—enjoy the process!

Favour Juweto

--

7