Dan Fu, an AI researcher soon to join UCSD, and Eugene Cheah, CEO of Featherless AI, delve into the future of post-transformer architectures. They discuss innovations like RWKV and state-space models, highlighting their collaborative and open-source nature. The duo examines the challenges of multilingual training and computational efficiency, while also exploring advancements in non-transformer models like Mamba and Jamba. Tune in for insights on scaling models, 'infinite context,' and how new architectures are reshaping the AI landscape!
