Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the Transformer architecture, the foundation of state-of-the-art AI/ML models like BERT and GPT, in this 30-minute visual presentation. Delve into the components of Transformer language models, including feed-forward neural networks and self-attention mechanisms. Learn about tokenization, embedding, and output projection processes. Gain insights into model training and probability visualization. Suitable for viewers with various levels of machine learning experience, this accessible video provides a comprehensive overview of the Transformer model's structure and applications in natural language processing.