1. In-Context Learning
Task: Generate a marketing description for a new product.
Completed:
Example Input (AI Reference):
1. “EcoClean is an eco-friendly cleaner that removes stains without harming the environment.”
2. “SpeedyCharge is a fast-charging power bank for travelers needing reliable battery life.”
3. “GlowFit is a smartwatch that tracks fitness, heart rate, and sleep patterns.”
AI-Generated Product Description:
“FreshBrew is a smart coffee maker that brews fresh coffee on demand with customizable settings for temperature and strength.”
Discussion:
• AI mimics given styles but may generate inconsistent results if inputs vary.
2. Chain-of-Thought
Task: Analyze customer feedback and suggest improvements.
Completed:
Customer Review:
“The smartwatch looks great, but the battery drains too fast, and fitness tracking is inaccurate.”
AI Breakdown:
Key Issues: Battery life and tracking accuracy.
Potential Improvements: Optimize power management, enhance sensor accuracy.
Actionable Suggestions:
• Implement a low-power mode.
• Improve motion sensors for better tracking.
• Gather more user feedback for updates.
Discussion:
• Step-by-step analysis helps AI provide structured recommendations.
3. Least-to-Most Prompting
Task: Train AI to handle questions with increasing complexity.
Completed:
Step-by-Step Questions & AI Responses:
Simple Question: “What is NLP?”
AI: “NLP is a field of AI that helps computers understand and generate human language.”
Medium Complexity: “How can NLP improve customer service in startups?”
AI: “NLP chatbots reduce response time and enhance user experience.”
Complex Question: “Which NLP tools should startups use for automated customer support?”
AI: “Tools like Dialogflow, Rasa, or OpenAI’s GPT can optimize chatbot interactions.”
Discussion:
• AI adapts responses based on question complexity.
4. Self-Refine
Task: Improve AI-generated social media posts.
Completed:
Initial Post:
“Check out our new smartwatch! It tracks fitness, monitors heart rate, and looks stylish on your wrist.”
Refined Version:
“ Stay fit and stylish! Our latest smartwatch tracks workouts, monitors heart health, and enhances your fitness journey.”
Discussion:
• AI improved engagement by making the post more persuasive and visually appealing.
5. Tree-of-Thought
Task: Generate multiple business strategies and compare them.
Completed:
Problem: “How can an e-commerce platform improve customer retention?”
AI-Generated Strategies:
Loyalty Program: Offer discounts and rewards (✅ Pros: Encourages repeat purchases ❌ Cons: Reduces profit margins).
Personalized Recommendations: AI-driven product suggestions (✅ Pros: Increases sales ❌ Cons: Requires extensive data collection).
24/7 Customer Support: AI-powered chatbots (✅ Pros: Enhances user satisfaction ❌ Cons: Needs investment in automation).
6. Maieutic Prompting
Task: Make AI debate itself to refine decision-making.
Completed:
Question: “Should a startup expand into an international market?”
AI Pro: “Expansion can increase revenue and brand recognition.”
AI Counterargument: “Regulatory challenges and high competition could increase risks.”
AI Pro: “Global reach can lead to long-term growth.”
AI Counterargument: “Marketing costs and consumer behavior differences might reduce profitability.”
Final Decision: “A small-scale pilot test can assess feasibility before full expansion.”
Discussion:
• AI self-debate refines decision-making by considering both pros and cons.