DataHour: Attention From Scratch

In this session we'll explore the pre-attention era and its limitations, paving the way for the revolutionary concept of self-attention. Uncover the mathematical principles that underlie attention mechanisms, demystifying their inner workings.

Discover the power of multi-head attention, a key innovation that enhances the efficiency and expressiveness of attention mechanisms. As we venture further, we'll introduce you to the transformative world of Transformers, shedding light on their architecture and the pivotal role attention plays within it. Don't miss out on this insightful journey through the intricate landscape of attention in AI.

Jaiyesh is a Data Scientist at Siemens, and also a Community mentor for Python and Data Science for the Oil and Gas Industry.  Co-Founder of Petroleum from Scratch: Venture focused on mentoring the community with core Petroleum Concepts as well as Data Analytics Skills that help students, as well as professionals, acquire the skills needed for Industry 4.0.