A year after publishing its Titans paper, Google has formally detailed the architecture on its research blog, pairing it with a new framework called MIRAS. Both projects target a major frontier in AI: models that keep learning during use and maintain a functional long-term memory instead of remaining static after pretraining.<br /> The article Google outlines MIRAS and Titans, a possible path toward continuously learning AI appeared first on THE DECODER. [...]
While the world's leading artificial intelligence companies race to build ever-larger models, betting billions that scale alone will unlock artificial general intelligence, a researcher at one of [...]
Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after trai [...]
Ready for some turkey day football? (Getty Images) saje via Getty Images<br /> The Dallas Cowboys have become as much a part of Thanksgiving Day tradition as turkey and stuffing. The team has pl [...]
Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those underp [...]
Patronus AI, the artificial intelligence evaluation startup backed by $20 million from investors including Lightspeed Venture Partners and Datadog, unveiled a new training architecture Tuesday that it [...]
When enterprises fine-tune LLMs for new tasks, they risk breaking everything the models already know. This forces companies to maintain separate models for every skill.Researchers at MIT, the Improbab [...]