Chapter 5: Ai And Your World

The Art of the Ask: Prompt Engineering

If a Large Language Model is a powerful engine, then the prompt is the steering wheel, accelerator, and GPS all in one. Prompt Engineering is the skill of crafting effective inputs (prompts) to guide an AI toward a desired output.

Simply asking a question is easy, but getting a high-quality, specific, and useful response requires a bit of art and science. A well-crafted prompt acts as a clear set of instructions for the AI.

Here are a few basic principles of good prompt engineering:

  1. Assign a Role: Start your prompt by giving the AI a persona. Instead of "Explain black holes," try "Act as an astrophysicist explaining black holes to a high school student." This immediately sets the tone, complexity, and focus.
  2. Provide Context: Give the AI the necessary background information. Don't just ask "Summarize this," instead provide the text and say "Summarize the following article for a busy executive. Focus on the key business implications."
  3. Specify the Format: Tell the AI exactly how you want the output. Do you want a bulleted list, a JSON object, a five-paragraph essay, or a table? Be explicit. For example, "...present the answer as a markdown table with three columns."
  4. Use Constraints: Limit the AI to guide its output. You can set a word count ("in 100 words or less"), specify things to avoid ("do not use technical jargon"), or ask it to adopt a certain style ("write in a formal, academic tone").

By combining these techniques, you move from simply asking the AI a question to directing it like a skilled assistant.

⚡️ Tools & Tips

  • Experiment in any Chatbot: Open Google Gemini or ChatGPT and try these techniques. Ask the same question two ways: once with a simple prompt, and once with a detailed prompt that includes a role, context, and format. You'll see a dramatic difference in the quality of the response.

The AI Academy Way: A Real-World Example

If your interest is "planning a family vacation," a lesson on prompt engineering might look like this:

"Imagine you're trying to plan a trip.

A bad prompt: 'Where should I go on vacation?' (Too vague!)

A good prompt (using prompt engineering):

'Act as an expert travel agent. My family of four, with two kids aged 8 and 12, wants to go on a 7-day beach vacation in July. Our budget is $4,000. We prefer relaxing but would like some options for fun activities like snorkeling or hiking. Provide three different destination options in a table format, including estimated costs and a list of pros and cons for each.'"

See the difference? The second prompt gives the AI a role, context, and a specific format, which will result in a much more useful and personalized answer. That's the power of Prompt Engineering.

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