What Is a Transformer Model in AI?
A transformer is a neural network architecture, introduced in 2017, that processes sequences such as text using a mechanism called attention, which lets the model weigh how relevant each word is to every other word. Transformers are the foundation of most modern large language models.
Why Transformers Matter
Earlier models processed text one step at a time. Transformers can look at all positions at once and train efficiently in parallel, which made very large models practical.
The “T” in GPT
GPT stands for Generative Pre-trained Transformer, reflecting this architecture.
🧮 Calculate It Yourself
Put Transformer (AI Model) into practice with this free calculator — no sign-up, nothing stored.
🔗 Related Terms
More AI & Technology Terms
📖 Browse all glossary terms or explore all free calculators.
Last updated: September 29, 2026. This definition is for general educational purposes only. It is not financial, investment, tax, legal, or medical advice, and it does not recommend any product or course of action. For decisions about your own situation, consult a qualified professional.