Applications of Transformers

Cross-domain coverage: Surveys Transformers in NLP, vision, speech, multi-modal, reinforcement learning, graph, and time-series tasks.

Model catalog: Comprehensive list of Transformer architectures with their design choices and application niches.

Application-driven taxonomy: Organizes by application domain rather than architecture, useful for practitioners evaluating Transformers for new domains.

Reference document: A broad reference for teaching material and onboarding readings on the Transformer architecture's reach.