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 ...

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

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 ...

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 ...

The transformer, today's dominant AI architecture, has interesting parallels to the alien language in the 2016 science fiction film "Arrival." If modern artificial intelligence has a founding document ...

What if you could predict the future—not just in abstract terms, but with actionable precision? From forecasting energy demand to anticipating retail trends, the ability to make accurate predictions ...