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🚀 The Future of NLP: How 🤖 Encoder-Decoder Transformers Work? [6/6] 📚✨
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00:00 Transformer intro
00:36 Encoder layers
04:48 Decoder layers
🚀 Ready to discover the 🔮 future of Natural Language Processing? In this video, I’ll walk you step-by-step through how Encoder-Decoder Transformers work, explaining each component (🧱 Encoder, ➡️ Decoder, 🔁 Attention, 🧩 Embeddings and more) using super simple language and tons of visual illustrations 🎨🧠
💡 Whether you’re a beginner or just need a refresher, these animations and diagrams will help you grasp the core concepts in just a few minutes ⏱️✨
👇 What you’ll learn:
✅ Why the Encoder-Decoder architecture is so powerful 🛠️
✅ How Attention connects words across a sentence 🔗
✅ How an input sentence is transformed into a translated output 🌍💬
✅ Why this architecture is the foundation of today’s top NLP models 🤖📈
#NLP 🤖
#TransformerArchitecture ⚙️
#EncoderDecoder 🔄
#ArtificialIntelligence 🧠
#MachineLearning 📈
#DeepLearning 🧬
#AIExplained 📹
#NeuralNetworks 🕸️
#NLPTutorial 📘
#TranslatorAI 🌍
#LanguageModel 💬
#FutureOfNLP 🚀
#AIVisualization 🎨
#AttentionMechanism 👀
#TechEducation 🧑🏫
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