Transformer
Understanding AI Terminology
The neural network architecture that powers modern large language models.
What It Means
The Transformer is a neural network architecture introduced in 2017 that revolutionized natural language processing. Unlike previous architectures, Transformers use self-attention mechanisms to process all parts of the input simultaneously, enabling them to capture long-range dependencies in text. All major LLMs including GPT, Claude, and Llama are built on Transformer architecture or its variants.
Examples
- GPT stands for 'Generative Pre-trained Transformer'
- BERT was an early influential Transformer model
- Vision Transformers extend the architecture to images
How This Applies to ARKA-AI
All models available through ARKA-AI are based on Transformer architecture, benefiting from its powerful language understanding capabilities.
Frequently Asked Questions
Common questions about Transformer
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