Visualizing transformers and attention | Talk for TNG Big Tech Day '24

The presentation focuses on visualizing transformers and attention mechanisms in deep learning, explaining how these models process language. It covers the architecture of transformers, including attention heads, embeddings, and the significance of context in predictions. The speaker emphasizes the efficiency and scalability of transformers in handling large datasets and generating coherent text.