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 ...

Blokees is back with a new set of mystery figures for the #Transformers Galaxy Version with Series 09 with the Darkest Hour ...

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. (In partnership with Paperspace) In recent years, the transformer model has ...

Large language models like ChatGPT and Llama-2 are notorious for their extensive memory and computational demands, making them costly to run. Trimming even a small fraction of their size can lead to ...

Key opportunities include the transition to transformer-based neural models for higher accuracy & efficiency, integration with cloud workflows, and growing demand for content localization across ...

GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...

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

DeepSeek's new Engram AI model separates recall from reasoning with hash-based memory in RAM, easing GPU pressure so teams ...

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

According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response lengths grow. At a batch size of 64, the model processes approximately 1,500 ...