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Transformer
Definition
A neural network architecture that uses self-attention mechanisms to process sequential data, revolutionizing NLP.In-Depth Explanation
Introduced in the 2017 paper "Attention Is All You Need," transformers replaced recurrent networks for sequence tasks. They process all positions simultaneously using attention mechanisms, enabling massive parallelization and capturing long-range dependencies. All modern LLMs are based on transformer architecture.
Real-World Example
GPT (Generative Pre-trained Transformer) and BERT are both built on transformer architecture.
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