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.

After years of dominance by the form of AI known as the transformer, the hunt is on for new architectures. Transformers aren’t especially efficient at processing and analyzing vast amounts of data, at ...

According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...

What if you could have conventional large language model output with 10 times to 20 times less energy consumption? And what if you could put a powerful LLM right on your phone? It turns out there are ...

OpenAI will reportedly base the model on a new architecture. The company’s current flagship real-time audio model, GPT-realtime, uses the ubiquitous transformer architecture. It’s unclear whether the ...

NVIDIA has started distributing DLSS 4.5 through an update to the NVIDIA App, making the latest revision of its DLSS ...

English look at AI and the way its text generation works. Covering word generation and tokenization through probability scores, to help ...

TL;DR: NVIDIA's DLSS 4 introduces a Transformer-based Super Resolution AI, delivering sharper, faster upscaling with reduced latency on GeForce RTX 50 Series GPUs. Exiting Beta, DLSS 4 enhances image ...