We’ve all been there: You write a massive prompt, and the AI gives you a bland, “average” response. The problem isn’t the AI—it’s how we ask. This series is based on state-of-the-art research in AI to help you unlock your potential with the assistance of AI chat tools, such as Gemini, ChatGPT, Claude, and others. It consists of the following modules:
Part I: The Basic of Prompting
The art of efficient prompting:
Prompting: the art of talking with AI
Understand the idea of Large Language Models to prompt better
Why Your AI Answers Are Too Vague (And How to Fix It)
The “Zoom In” Strategy for Better AI Responses
How prompting languages can affect the output
Prompting Application
How to use AI to respond to difficult emails
Conceptual Plan
Visual search & Price Tracking
The risk of using AI and how to reduce it
What’s hallucianation and its risks?
NotebookLM
Part II: Advanced Prompting Techniques with templates
Tree of thoughts prompting
Tree of Thoughts for General Problem Solving example: learning Japanese
ToT example: planning a trip to Italy
Tree of Thoughts (ToT) prompting styles summary