Rakshit Agrawal, Co-Founder and CEO of Ryddle AI, presents the “Transformer Networks: How They Work and Why They Matter” tutorial at the May 2024 Embedded Vision Summit.
Transformer neural networks have revolutionized artificial intelligence by introducing an architecture built around self-attention mechanisms. This has enabled unprecedented advances in understanding sequential data, such as human languages, while also dramatically improving accuracy on nonsequential tasks like object detection.
In this talk, Agrawal explains the technical underpinnings of transformer architectures, with particular focus on self-attention mechanisms. He also explores how transformers have influenced the direction of AI research and industry innovation. Finally, he touches on ethical considerations and discusses how transformers are likely to evolve in the near future.
See here for a PDF of the slides.
