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Transformer architecture mujhe simple language mein samjhao.
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Bilkul! Transformer ek attention-based model hai. Puri library ek saath dekh sakta hai — unlike RNN jo ek-ek page padhta tha.
Self-attention: har word decide karta hai ki baaki kaunse words uske liye important hain. Isliye yeh itne powerful hote hain.
Self-attention: har word decide karta hai ki baaki kaunse words uske liye important hain. Isliye yeh itne powerful hote hain.
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Iska real-world example do aur ek practice question bhi.
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Platform features
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Vizz-AI tutor
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PhD-designed content
Curriculum crafted by researchers from IIT, MIT, and Stanford — research-grade depth, made learner-friendly.
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Adaptive quizzes
AI-generated assessments that adjust difficulty in real-time based on your strengths and knowledge gaps.
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AI & Machine Learning
42 courses • 380+ hrs
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Data Science
28 courses • 240+ hrs
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19 courses • 160+ hrs
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Research Methods
15 courses • 120+ hrs
PhD-level
PhD-designed content
Built by researchers, for learners
DR
Dr. Rahul Mehta
🏛️ IIT Bombay • Deep Learning
Transformer architectures, large-scale model training, and attention mechanisms in production systems.
DS
Dr. Sneha Agarwal
🏛️ Stanford • NLP & GenAI
RAG systems, LangChain pipelines, and production LLM deployment strategies at enterprise scale.
PK
Prof. Priya Kumar
🏛️ MIT CSAIL • Computer Vision
YOLO, semantic segmentation, real-time inference systems, and MLOps for vision applications.
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Dr. Aditya Singh
🏛️ IISc • Data Engineering
Scalable data pipelines, cloud ML infrastructure, and real-time analytics for high-volume systems.
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