Linked from

The 10 pages that link to Transformer (neural network architecture), each with the reason it gives.

• Natural language processingRelated: Transformers underpin many current language understanding and generation systems.

• Machine translationRelated: Transformers underpin many current translation models by capturing context across a sentence.

• Optical character recognitionRelated: Transformer-based OCR can combine visual evidence across long text regions.

• Deep learningBroader topic: Transformers underpin many deep-learning systems for language, images, and other modalities.

• Large language modelBroader topic: Most modern large language models use transformer layers to connect information across a text sequence.

• Sentiment analysisRelated: Transformer models use context to interpret sentiment-bearing language.

• ChatGPTBroader topic: Transformer networks form the core architecture of the models behind ChatGPT.

• History of artificial intelligenceBroader topic: Transformers underpin many recent language models and generative AI systems.

• AI boomRelated: Transformers underpin many language models that helped drive the boom.

• Generative AIRelated: Transformers power many text generators by predicting tokens in context.