Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

What Is A Transformer-Based Model? Transformer-based models are a powerful type of neural network architecture that has revolutionised the field of natural language processing (NLP) in recent years.

Transformers, a groundbreaking architecture in the field of natural language processing (NLP), have revolutionized how machines understand and generate human language. This introduction will delve ...

Ever since the groundbreaking research paper "Attention is All You Need" debuted in 2017, the concept of transformers has dominated the generative AI landscape. Transformers however are not the only ...

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Google DeepMind published a research paper that proposes language model called RecurrentGemma that can match or exceed the performance of transformer-based models while being more memory efficient, ...

This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...