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, ✨

# AISeen clearly # PromptEngineering # NichaVisualNote