Visual Note summary from the Prompt Engineering class.
🎉 Happy New Year, every fan page
Today, I would like to open the year too.
Visual Notes from the Prompt Engineering class
Where to learn from Data Bootcamp - DataRockie comes 🤍
So let's summarize some of the notes you think are practical.
For people who regularly work with AI, ✨
🤖 Prompt Engineering.
Is to write a command (Prompt) to communicate with AI.
To get a clearer, more direct and direct answer.
🧠 Prompt Engineering Framework (RTF Framework)
• Role - Assign a role to AI
• Task - Tell me what you want AI to do
• Format - Specifies a result format such as an article, image, or code.
💻 Prompt Engineering Techniques
1️⃣ Zero-shock - Write a command only. No examples.
2️⃣ One-Shock - Write Command + Sample 1 Set
3️⃣ Few-shock - Write several sets of commands + examples.
4️⃣ Role Play - Define Roleplay for AI to Conversate
5️⃣ Chain of Thought - Order to think in stages.
6️⃣ Tree of Thought - Think about multiple choices and choose the best one.
7️⃣ Iterative Prompting - Ask Capped on Previous Answers
8️⃣ Temperature Adjustment - Tone Adjustment Answer
(0 = official / 1 = creative, out of the box)
This year, Add intended to summarize knowledge.
Easy to understand, practical and not too heavy.
Through Visual Notes like this, ✨
