Transformer architectures have facilitated the development of large-scale and general-purpose sequence models for prediction tasks in natural language processing and computer vision, e.g., GPT-3 and ...

According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response lengths grow. At a batch size of 64, the model processes approximately 1,500 ...

A new study presents “Evo” – a machine learning model capable of decoding and designing DNA, RNA, and protein sequences, from molecular to genome scale, with unparalleled accuracy. Evo’s ability to ...

The difference between sequential decision-making tasks and prediction tasks, such as CV and NLP. (a) A sequential decision-making task is a cycle of agent, task, and world, connected by interactions.