RAG has revolutionised how AI systems process and respond to user queries by using external knowledge sources.

Elon Musk’s unceasing attempts to access the data and information systems of the federal government range so widely, and are ...

As law firms and legal departments race to leverage artificial intelligence for competitive advantage, many are contemplating ...

The Dezeen team are reporting live from Stockholm Design Week in the Swedish capital (3-9 February), where blown glass, woven ...

Generative diffusion models like Stable Diffusion, Flux, and video models such as Hunyuan rely on knowledge acquired during a single, resource-intensive training session using a fixed dataset. Any ...

AI verification has been a serious issue for a while now. While large language models (LLMs) have advanced at an incredible pace, the challenge of proving their accuracy has remained unsolved.

Fragpunk will be hitting digital shelves soon, throwing itself headfirst into an incredibly competitive hero shooter scene. When it comes to standing out in such a dense market, FragPunk's Shard ...

Google’s Titans ditches Transformer and RNN architectures LLMs typically use the RAG system to replicate memory functions Titans AI is said to memorise and forget context during test time ...

Two of the most exciting approaches in this domain—Retrieval-Augmented Generation (RAG) and Generation-Augmented Retrieval (GAR)—are leading the way in reshaping intelligent systems.

Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.