Transformers and Attention Questions
The transformer architecture that underlies modern language and multimodal models. Covers self-attention and multi-head attention, positional encoding, encoder/decoder structures, and why transformers scale better than recurrent alternatives. Focuses on the architectural intuition behind contemporary foundation models.
No published Transformers and Attention questions for Applied Scientist yet
This topic is part of the Applied Scientist interview scope, but we have not published questions for it under this role yet. Browse the other topics in this category, or start a practice session to work through it interactively.