🔥 This One AI Model Made ChatGPT Possible 😱 | Transformers Explained + Python Demo

Описание: In this video, we explore one of the most powerful breakthroughs in Artificial Intelligence — Transformers in Neural Networks.

Transformers are the key technology behind modern AI tools like ChatGPT, Google Gemini, Claude, Bard, and other Generative AI systems.

📌 In this video you will learn:
✅ What is Transformer Model?
✅ Why Transformers replaced RNN & LSTM
✅ Attention & Self-Attention Mechanism explained simply
✅ Encoder & Decoder architecture
✅ Positional Encoding
✅ Real-world applications of Transformers
✅ Python Demo Coding for better understanding

This video is perfect for AI beginners, Machine Learning students, Data Science learners, and Python programmers.

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⏳ Time Stamps (Chapters)

00:00 - Introduction
00:55 - What is Transformer Model?
02:10 - Why Transformers are powerful?
03:20 - Transformers vs RNN vs LSTM
04:30 - Attention Mechanism Explained
05:50 - Self-Attention (Simple Example)
07:20 - Query, Key, Value (QKV) Concept
09:00 - Transformer Architecture Overview
10:20 - Encoder & Decoder Explanation
12:10 - Positional Encoding Explained
13:30 - Real World Applications (ChatGPT, Translation, Vision AI)
15:00 - Python Demo Coding Starts
16:40 - Final Output + Conclusion

📌 Topics Covered

🔹 Transformer Neural Network
🔹 Self Attention
🔹 Encoder Decoder
🔹 Positional Encoding
🔹 ChatGPT Working Technology
🔹 Python Demo

📢 Connect with us:

📌 For AI Training / Projects / Support: VINXL Technologies
📩 Contact: [email protected]

🔥 Hashtags

#Transformers #ChatGPT #AI #DeepLearning #MachineLearning #NLP #SelfAttention #PythonCoding #DataScience #GenerativeAI #NeuralNetworks #TransformerModel #AIExplained #VINXL #Tech