Prompt Engineering

💡 Think about Inputs and Outputs....

If the Input is confused one, the Output will also be a confused one. So, to get a good Output from anything there must be a good Input.

➡️ What is the Prompt Engineering ?

Simply, It is the skill of writing effective and clear instruction (effective and clear prompt) for AI tools like ChatGPT / Claude / Google Gemini.. to get the best Results

🡺 ex ): When we want to get a story using AI tool ,

prompt 1 -: " Give me a story "
prompt 2 -: " Write a 10 sentence story about two best friends in a
class "

Consider these two prompts ;

• prompt 1 > 👎 [ bad prompt ]
• prompt 2 > 👍 [ good prompt (not bad) ]

There are not even basic instruction in prompt 1.

• What is this story about ?
• What is the purpose of story ?
• How many sentences or words do you need for the story ?

So we won't get a good output using this prompt (prompt 1).

➡️ How to write a clear and effective prompt for AI tools ?

These are written under some Models. One of them is shown bellow

⭐ RACEC Model

Role - Define the role or persona of the chatbot

    ex : Think like this.. / Act as that person...

Action - Explain as you give instructions to an assistant

    ex : Write and essay, letter ,email / Analyze this sales data.

Context - What is the Target Audience

    ex : write to university professor 

Examples - Using examples for your prompt

Constraints and Formatting - Explain what are the necessary and
unnecessary things

📁 By using models like RACEC, you can structure your prompts to be more effective, creative, and useful !!!

Resources - Prof. Hiran Amarasekera ( Youtube - 𝐒𝐭𝐮𝐝𝐞𝐧𝐭 𝐋𝐚𝐧𝐤𝐚 )