AI Hallucinations: Jab AI Jhooth Bolta Hai — Aur Edlix Kaise Roka Karta Hai
Revant Sahu
May 5, 2026
Ek student ne ChatGPT se Class 10 Science ke ek experiment ke baare mein poochha. ChatGPT ne confidently ek procedure bataya — jo bilkul galat tha. Student ne wahi likh diya exam mein. Fail ho gaya. Yeh sirf ek story nahi hai — yeh AI hallucination ki real problem hai.
Hallucination Hota Kya Hai?
AI models — GPT-4, Gemini, Claude — sab ke sab sometimes aisi cheezein 'invent' kar dete hain jo sach nahi hoti. Fake book citations, wrong historical dates, incorrect scientific formulas — sab itne confidently bolte hain ki pata hi nahi chalta. Isko AI Hallucination kehte hain. Yeh bug nahi hai — yeh in models ke kaam karne ke tarike ka side effect hai.
Kyun Hota Hai Hallucination? (Simple Science)
| AI Ka Kaam | Insaan Ka Kaam |
|---|---|
| Agle word ki probability predict karta hai | Sochke jawab deta hai |
| Training data se patterns yaad hain | Facts genuinely yaad hote hain |
| Nahi jaanta toh bhi confident lagta hai | Nahi jaanta toh 'pata nahi' kehta hai |
| Context ke bahar jaane par invent karta hai | Imagination clearly label karta hai |
Students Ke Liye Yeh Sabse Dangerous Kyun Hai?
- 📚 Exams: Wrong NCERT facts ya incorrect formulas agar student ne AI se seekhe toh marks jaate hain.
- 🔬 Science experiments: Galat procedure dangerous bhi ho sakta hai.
- 📖 History/Civics: Fake dates ya events agar yaad ho gaye toh correction mushkil ho jaati hai.
- 🧮 Math: Steps sahi lag rahe hain lekin logic galat — detect karna mushkil.
Edlix AI Ka Approach: Reduce, Don't Ignore
Nagchetra Labs ke vision document mein clearly likha hai: 'Edlix AI is specially designed and instructed to reduce hallucinations, particularly in emotionally sensitive and educational contexts.' Yeh sirf ek feature nahi — yeh ek core design principle hai. General AI tools accuracy ke liye design nahi hue hain — woh breadth ke liye hain. Edlix, specifically Indian curriculum pe focused hone ki wajah se, hallucination ka risk dramatically kam kar sakta hai.
Kesar Model Ka Role
Jab Kesar Model NCERT-aligned data pe fine-tune hoga, toh ek interesting cheez hogi: domain-specific fine-tuning actually hallucinations reduce karta hai. Kyunki model ke paas ek narrow, verified knowledge base hoga — woh general gibberish invent karne ke bajaye curriculum-specific accurate answers de sakta hai. Yahi Nagchetra Labs ka long-term bet hai.
Ek student ke liye sahi jawab dena 99% accurate hone se zyada zaroori hai. Kyunki woh 1% galati exam mein aa sakti hai.
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