- Transformer is a neural network architecture that has fundamentally changed the approach to - Artificial Intelligence. Transformer was first introduced in the seminal paper + The Transformer is a neural network architecture that has fundamentally changed the approach to + Artificial Intelligence. Transformers were first introduced in the seminal paper "Attention is All You Need" - in 2017 and has since become the go-to architecture for deep learning models, powering text-generative + in 2017 and have since become the go-to architecture for deep learning models, powering text-generative models like OpenAI's GPT, Meta's Llama, and Google's - Gemini. Beyond text, Transformer is also applied in + Gemini. Beyond text, Transformers are also applied in game playing, demonstrating its versatility across numerous domains. + >, demonstrating their versatility across numerous domains.
- Fundamentally, text-generative Transformer models operate on the principle of next-token prediction: given a text prompt from the user, what is the most probable next token (a word or part of a word) that will follow this input? The core @@ -311,10 +311,11 @@ between all input tokens.