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 ...

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 ...

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

As we encounter advanced technologies like ChatGPT and BERT daily, it’s intriguing to delve into the core technology driving them – transformers. This article aims to simplify transformers, explaining ...

IBM Corp. on Thursday open-sourced Granite 4, a language model series that combines elements of two different neural network architectures. The algorithm family includes four models on launch. They ...

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 ...

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