Transformers Explained: The AI Breakthrough Behind ChatGPT

Transformers changed artificial intelligence forever. Before them, models struggled to understand long sequences efficiently. Then one idea took over: attention. In this video, we break down the original Transformer architecture from Attention Is All You Need — visually and step by step. You’ll see how tokens, embeddings, positional encoding, self-attention, multi-head attention, encoder-decoder blocks, and masked decoding work together to power modern AI systems like ChatGPT, translation models, and large language models. No hype-only explanation — just the core idea behind one of the most important AI papers ever published. #AI #ArtificialIntelligence #MachineLearning #DeepLearning #Transformer #ChatGPT #LLM #AttentionMechanism #NeuralNetworks #AIEducation #TechExplained #GenerativeAI #NLP #OpenAI #DeepLearningExplained