"Time to Befriend AI As Your Work Buddy—Let AI Reduce Work Pressure !"

Just wrapped up the "Generative AI- Introduction to AI Basics" 7-hour course in 2 hours with hands-on lab projects.

Since the launching of ChatGPT, we all have already used it less or more. You might get your output as often but do you know you can create your desired output more precisely by generating a prompt in a certain way?

This is all about some specific techniques that prompt engineering teach you to master tools like ChatGPT, MidJourney, Dell-E, or Gemini. I want to share my recent learning from my Coursera course, which might be helpful for my #LinkedInConnections .

4 ESSENTIAL DOMAINS WHILE GIVING PROMPT

1. CLARITY: Write the main theme using easy words.
2. Context: Establish a relevant environment in the instruction. Give everything related to your output
3. Precision: Be specific, use examples.
4. Role-Play: Told the AI model "Suppose you are a Philosophy lecturer with a PhD "(according to your context) give him a relevant role.

Techniques

• Task Specification
• Contextual Guidance
• Domain Expertise
• Bias Mitigation
• Framing
• Zero-Shot
• Few-Shot
• User Feedback Loop

Approaches

1. Interview Pattern Approach: Follow up by continuously asking questions to the model and repeat.
2. Chain Of Thought Approach: First give a question with an answer. Then ask the model if you need similar output for your queries #PromptEngineering #GenerativeAI #AIApplications #MachineLearning #CourseraCertification