An LLM, or Large Language Model, is a type of AI trained on massive amounts of text data to understand and generate human-like language. It can answer questions, write content, summarize information, translate languages, and even automate tasks, just by understanding text input (prompts).

Examples: ChatGPT, Claude, Gemini, Llama.

🔹 What is a Prompt?

In AI (especially large language models like ChatGPT), a prompt is the input you give to the model to get a desired output. It can be as simple as a question or as complex as a detailed instruction.

For example:

• Simple Prompt: “Write a caption for my LinkedIn post.”
• Detailed Prompt: “You are a marketing expert. Write a 3-line Instagram caption that encourages SMEs to automate their invoicing using Zapier and ChatGPT.”

🔹 What is Prompt Engineering?

Prompt Engineering is the art and science of crafting effective prompts so that AI models produce accurate, creative, and relevant outputs.

It involves:

• Structuring instructions clearly
• Providing examples (few-shot prompting)
• Giving the AI a role or context
• Specifying the format of the response

🛠 Why It Matters

Think of prompt engineering like writing a really good brief for a designer or developer. A weak brief = bad output. A smart, structured brief = gold!

You can use prompt engineering to: