🟣 ML + AI · Lesson 67
Generative AI और LLM Basics
Generative AI और LLM Basics क्या है?
Generative AI और LLM Basics ka matlab hai: Generative AI creates new content such as text, images or code. LLMs are large language models trained on text patterns. Simple words me, ye topic practical Python programs likhne me direct use hota hai.
Is topic ko sirf definition ke liye nahi, balki understanding text generation jaise real examples ke liye practice karein.
यह क्यों सीखना जरूरी है?
- Ye understanding text generation me kaam aata hai.
- Ye working with prompts se bhi connected hai.
- Isse aap code ka output aur errors better samajh paate hain.
Important Terms
| Term | Meaning |
|---|---|
| prompt | Instruction or input given to a generative AI model. |
| token | Piece of text processed by an LLM. |
| LLM | Large Language Model trained on massive text data. |
| generation | Producing new text, image, code or other content. |
| context | Background information provided to help the model answer correctly. |
Syntax / Basic Pattern
Basic idea: pehle data तैयार करें, phir Python logic apply करें, aur finally result display करें.
Basic Pattern
prompt = "Write three benefits of learning Python"
print("Prompt:", prompt)
print("Expected output: clear, useful and relevant response")Complete Example Program
Python – generative-ai-llm-basics.py
prompt = "Write three benefits of learning Python"
# In real applications, this prompt is sent to an AI model API.
print("Prompt:", prompt)
print("Expected output: clear, useful and relevant response")Expected Output
Prompt: Write three benefits of learning Python
Expected output: clear, useful and relevant response
Program Explanation
prompt = "Write three benefits of learning Python"stores a value in prompt.print("Prompt:", prompt)displays information or calculated result on the screen.print("Expected output: clear, useful and relevant response")displays information or calculated result on the screen.
Practical Uses
- Understanding text generation.
- Working with prompts.
- Using llm-based tools responsibly.
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
generative-ai-llm-basics.pyfile me type karke run karein. - Values change karke output compare karein.
- understanding text generation par ek छोटा example banayen.
- Logic ko apne words me 5 lines me likhein.
सारांश
Generative AI and LLM Basics 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.