What is BERT? AI Explained Simply (Step-by-Step)
Learn BERT (Bidirectional Encoder Representations from Transformers) in this beginner-friendly AI tutorial. This video explains how the BERT model works, including pre-training, fine-tuning, and transformer architecture in simple terms.
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If you're a student, teacher, or AI enthusiast, this guide will help you understand one of the most important breakthroughs in Natural Language Processing (NLP). We break down complex concepts like masked language modeling and next sentence prediction into easy steps.
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🔑 What You’ll Learn:
What BERT is and why it matters in AI
How bidirectional transformers work
BERT architecture (layers, attention heads, embeddings)
Pre-training techniques: Masked Language Model (MLM)
Next Sentence Prediction (NSP) explained
Difference between pre-training and fine-tuning
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