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 ...

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 ...

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, ...

The Sohu AI chip, developed by the startup Etched, is making waves in the world of artificial intelligence. Hailed as the fastest AI chip ever created, Sohu promises to transform AI hardware with its ...

Built for long-context tasks and edge deployments, Granite 4.0 combines Mamba’s linear scaling with transformer precision, offering enterprises lower memory usage, faster inference, and ISO ...