AIREVOLUTION

The Transformer Revolution: Breakthrough in Language Modelling and Its Impact on AI Development

The Transformer architecture, unveiled by Vaswani et al. (2017), has catalysed a seismic shift in natural language processing (NLP), redefining the boundaries of language modelling and accelerating advancements in artificial intelligence (AI). By introducing a novel approach that prioritises parallel computation and attention-driven processing, the Transformer has surpassed traditional models,

by Miklós Sebők - Rebeka Kiss • Apr 5, 2025

GenAI textbook Part 4 Chapter 1

The Attention Mechanism: The Key to Understanding Linguistic Relationships

The attention mechanism has fundamentally reshaped natural language processing (NLP), enabling models to capture complex linguistic relationships with unprecedented accuracy. Introduced prominently in Vaswani et al. (2017), attention allows models to focus on relevant parts of input sequences, enhancing performance in tasks like machine translation and sentiment analysis. This essay

by Miklós Sebők - Rebeka Kiss • Mar 30, 2025