Saturday, December 14, 2024

Getting Started with AI: A 15-Hour Learning Journey

Want to become AI-savvy in just two weeks? Here's a focused learning path that requires only about an hour a day. This guide explores four essential themes that will transform how you interact with AI:

  1. Learning from AI Experts: How to leverage AI podcasts to build your knowledge foundation
  2. The Art of Iteration: Mastering the technique of refining your prompts to get better results
  3. Trust but Verify: Developing critical thinking skills to verify AI-generated content
  4. Smart Summarization: Converting lengthy AI conversations into powerful, reusable prompts

Let's dive into these themes through practical exercises and real-world examples that will help you harness AI effectively in your daily life.

Week 1: Building Your Foundation (7.5 hours)

Deep Dive into AI Through Podcasts (2.5 hours)

Start your journey by listening to carefully selected podcasts during your commute or daily routine. I recommend you choose only one or  two for your regular listening pleasure:

Mastering Prompt Iteration (2 hours)

Spend time practicing with AI chatbots, focusing on refining your prompts. Here's a fun example:

Initial Prompt:

"Write about dogs"

Improved Iteration:

"Write a 300-word guide about choosing the right dog breed for apartment living, including considerations for size, energy level, and noise"

Final Iteration:

"Create a comprehensive guide for apartment dwellers considering a dog. Include:

  • Top 5 breeds suited for apartment living
  • Exercise requirements for each breed
  • Noise levels and training tips
  • Space considerations
  • Estimated monthly costs

Format this as a practical guide with clear headings and bullet points"

Summary Iteration:

I often ask the chatbot to provide an improved prompt based upon the contents of the session.

  • "Please rewrite the prompts within this session into a single well-engineered prompt"

Asking the AI chatbot to rewrite your prompt really helps in deepening your understanding of prompt engineering.

And to make things interesting I sometimes ask the chatbot to rewrite the response with different literacy levels.

  • "Please rewrite this response for a grade five literacy level"
  • "Please rewrite this response for a PhD literacy level"
I actually find the response for the grade eight literacy level more interesting than the PhD level.

Using the different AI chatbots (3 hours)

There are many emerging AI chatbots, build some prompts within each. Experiment with different AI chatbots: Play, get curious, ask the AI bot to rewrite your prompt, try the rewrites against all these different chatbots, compare and contrast their responses.

  • ChatGPT: Excellent for creative writing and coding
  • Claude: Strong at analysis and detailed explanations
  • Gemini: Particularly good with multimodal tasks
  • Perplexity: Specialized in real-time information retrieval and citation

Week 2: Advanced Techniques (7.5 hours)

Verification Strategies (4 hours)

Learn to verify AI outputs effectively with these examples:

When you have Historical Facts:

"You mentioned the Wright brothers' first flight was in 1903. Can you:

  1. Provide specific sources for this date
  2. Break down the key events of that day
  3. Highlight any details you're uncertain about"

When you asked for Technical Advice:

"You've suggested this Python code solution. Can you:

  1. Explain why each line is necessary
  2. Identify potential edge cases
  3. Compare it with alternative approaches"
When you wanted Financial Analysis:

"You've provided a financial forecast for my small business. Can you:
  1. Explain the key assumptions behind your projections
  2. Identify potential economic factors that could impact these numbers
  3. Compare this forecast with industry benchmarks
  4. Highlight any areas where you have limited data or uncertainty
  5. Suggest additional data points that could improve the accuracy of this analysis"
These  are three examples of verification for your AI outputs. It is always a good idea to request verification as it reduces the AI hallucinations and increases your knowledge of the topic being discussed.

Work through the sessions from last week and write prompts to verify the information in an AI output. Spend a few hours creating verification prompts, ask the AI to write these for you. Improve upon the verification prompts, iterate.

An AI hallucination occurs when an artificial intelligence generates information that appears plausible but is factually incorrect or nonsensical. 

Session Summarization (3.5 hours)

Master the art of creating comprehensive prompts from AI sessions. Here's an example:

Original Conversation:

  • Human: "How can I improve my public speaking?"
  • AI: [Provides tips about preparation]
  • Human: "What about handling nervousness?"
  • AI: [Shares anxiety management techniques]
  • Human: "How should I structure my speech?"
  • AI: [Explains speech organization]

Summarized into Single New Prompt:

"Create a comprehensive public speaking guide for beginners that covers:

  1. Essential preparation steps
  2. Anxiety management techniques
  3. Speech structure and organization
  4. Delivery tips
  5. Common pitfalls to avoid

Include specific examples for each section and actionable steps for implementation"

Practical Exercise Examples

Try these exercises during your learning journey:

1. Content Creation:

  1.    Ask AI to write a blog post, then iterate three times, each time making it more specific
  2.    Example progression:
    •    "Write about healthy eating"
    •    "Write about healthy eating for busy professionals"
    •    "Create a 7-day meal prep guide for busy professionals who have only 30 minutes for dinner"

2. Problem Solving:

  •    Start with a complex problem like home organization
  •    Break it into smaller tasks
  •    Ask AI to verify the feasibility of each step
  •    Create a final, comprehensive action plan

Reminder: Ask AI to summarize a session and all its progressive steps into a single new prompt. Use this prompt in the different chatbots.

Key Takeaways

After completing this learning path, you'll have:

  • A solid understanding of current AI capabilities and limitations
  • Practical experience in prompt engineering
  • The ability to verify and validate AI outputs
  • Skills to maintain efficient AI conversations

Remember: Success with AI tools comes from systematic practice and refinement. Start with simple queries and gradually increase complexity as you become more comfortable with the interaction patterns.

Pro Tip: Keep a "prompt journal" documenting your most effective prompts and the situations where they worked best. This will help you develop your own library of reliable AI interaction strategies.