Google DeepMind is actively moving beyond standard transformer architectures to address scaling costs and memory limitations in modern AI. By developing alternatives like the Griffin architecture and Recurrent Gemma, they utilize "index card" states that synthesize past information rather than carrying a full data cache. These innovations aim to...
Läs hela artikeln hos källan.
Kommentarer (0)
Inga kommentarer ännu. Bli först med att kommentera!