🟣 ML + AI · Lesson 68
Prompt Engineering Basics
Prompt Engineering क्या है?
Prompt Engineering ka matlab hai: Prompt engineering means writing clear instructions so an AI model gives accurate and useful output. Simple words me, ye topic practical Python programs likhne me direct use hota hai.
Is topic ko sirf definition ke liye nahi, balki writing clear prompts jaise real examples ke liye practice karein.
यह क्यों सीखना जरूरी है?
- Ye writing clear prompts me kaam aata hai.
- Ye getting better AI responses se bhi connected hai.
- Isse aap code ka output aur errors better samajh paate hain.
Important Terms
| Term | Meaning |
|---|---|
| role | Persona or viewpoint assigned to an AI model in a prompt. |
| context | Background information provided to help the model answer correctly. |
| task | Specific work the AI is asked to perform. |
| format | Required output structure, such as bullets, table or JSON. |
| constraints | Rules the AI must follow while answering. |
Syntax / Basic Pattern
Basic idea: pehle data तैयार करें, phir Python logic apply करें, aur finally result display करें.
Basic Pattern
prompt = """ Role: Act as a Python teacher. Task: Explain list comprehension. Audience: Class XI beginners. Format: 5 bullet points with one example. """ print(prompt.strip())
Complete Example Program
Python – prompt-engineering.py
prompt = """ Role: Act as a Python teacher. Task: Explain list comprehension. Audience: Class XI beginners. Format: 5 bullet points with one example. """ print(prompt.strip())
Expected Output
A structured prompt will be printed.
Program Explanation
prompt = """stores a value in prompt.Role: Act as a Python teacher.performs the next step of the program logic.Task: Explain list comprehension.performs the next step of the program logic.Audience: Class XI beginners.performs the next step of the program logic.Format: 5 bullet points with one example.performs the next step of the program logic."""performs the next step of the program logic.print(prompt.strip())displays information or calculated result on the screen.
Practical Uses
- Writing clear prompts.
- Getting better ai responses.
- Building prompt-based workflows.
Common Mistakes
- Training and testing the model on the same data.
- Using an algorithm without understanding the input features.
- Reporting only accuracy without checking actual mistakes and limitations.
Practice Tasks
- Program ko
prompt-engineering.pyfile me type karke run karein. - Values change karke output compare karein.
- writing clear prompts par ek छोटा example banayen.
- Logic ko apne words me 5 lines me likhein.
सारांश
Prompt Engineering ko tab complete maanenge jab aap iska meaning, example, output aur practical use clearly explain kar saken.
💻 लाइव कोड एडिटर
इस पेज के प्रोग्राम यहीं तैयार हैं — चलाएँ, बदलें और सीखें। कुछ भी इंस्टॉल किए बिना।
OneCompiler द्वारा संचालित। कोड एडिटर में अपने आप आ जाता है — Run दबाकर आउटपुट देखें। अगर एडिटर न खुले तो नए टैब में खोलें.