AI & Machine Learning Category
TRANSFORMER
Neural architecture behind many modern LLMs.
Definition
A transformer is a neural network architecture that uses attention mechanisms to process relationships between tokens efficiently, making it a foundation for many modern language and multimodal models.
Practical Example & Use Case
Teams working on chat, search, or summarization features often rely on transformer-based models because they can represent long-range context more effectively than older sequence models.
Editorial review date: 2026-04-14