Tag: sparse_attention
-
Media Monitor: New Technologies Emerge to Challenge AI's Transformer Foundation
MIT Technology Review reports that the foundational transformer architecture in large language models is showing its age, prompting startups like Subquadratic, Manifest AI, Liquid AI, Inception, and Pathway to develop new, more efficient AI technologies.
Science & TechnologyBusinessArtificial IntelligenceComputers and InternetEconomyEducation Large Language ModelsTransformersNeural NetworksSparse AttentionDiffusion ModelsState SpacesMIT Technology ReviewMITsciencetechnology
-
Media Monitor: AI startup Subquadratic's LLM claims gain traction with independent tests, MIT Technology Review reports
MIT Technology Review reports on Subquadratic, an AI startup claiming a breakthrough in large language models. Independent tests by Appen suggest its SubQ model is faster, cheaper, and more efficient, addressing initial skepticism.
Science & TechnologyBusinessArtificial IntelligenceComputers and InternetEconomy SubquadraticSubQLarge Language ModelsSparse AttentionAppenMIT Technology ReviewMITsciencetechnology