🔥🤖 BERT Killed Old-School NLP! 💀📖 Why Encoder-Only Models Changed Everything ⚡🧠✨ [Part 4/6]

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Want to build real-world NLP projects using BERT? 🧠🛠️
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In this video, we break down the BERT model step-by-step — how it works 🧠, what makes the Transformer Encoder so powerful ⚙️, and why BERT revolutionized NLP forever 🚀.
No more bag-of-words... no more RNNs... just pure, deep context from both directions 🔄💡.
🔥 Whether you're a beginner or a pro, this is your visual guide to understanding one of the most important models in AI history!

📚 Timestamps
00:00 🔥 Intro – Why BERT Changed the NLP Game
00:18 📚 What Does BERT Mean?
00:48 🧠 How Transformers Work (Quick Overview)
01:29 🛠️ BERT Pre-training vs Fine-tuning
02:39 🤝 Sponsor: ProjectPro – 250+ End-to-End Projects!
03:21 🧾 Encoder – What Goes In?
04:01 🧩 Embeddings Explained (Token + Segment + Position)
04:42 ⏱️ Positional Encoding Demystified
05:05 🧠 Attention is All You Need (Multi-Headed!)
06:05 🍽️ Restaurant Analogy: Query, Key & Value
07:00 🔄 SoftMax & Layer Normalization
07:49 ➕ Add & Norm – What It Really Does
08:24 ⚙️ Feed-Forward Networks Inside BERT
09:32 ➕ Add & Norm (Again!?)
09:42 🧱 Stacking Encoders – Deep BERT Magic

🎶 Music Credits (Envato Elements)
Track used: “[A.I. Technology]” by [LumenMedia] 🎧
Licensed via Envato Elements 🎼
✔️ This credit satisfies YouTube’s copyright dispute requirements when using licensed music from Envato.

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