A Harvard-led study published in Science found a large language model outperformed hundreds of physicians in diverse clinical reasoning tasks, including emergency room decision-making and diagnosis.
MiMo-V2.5 stands as a testament to the power of sparse architectures and permissive licensing in the race toward functional ...
A Harvard-led study found a large language model surpassed hundreds of physicians in diagnostic and management reasoning tasks, especially in emergency triage. Researchers stress the results do not ...
Remember a year ago, all the way back to last November before we knew about ChatGPT, when machine learning was all about building models to solve for a single task like loan approvals or fraud ...
A new mathematical model that predicts which choices people will make in the Iowa Gambling Task, a task used for the past 25 years to study decision-making, outperforms previously developed models. A ...
With a 1‑million‑token context window and sparse MoE design, MiMo‑V2.5 targets developers building autonomous coding and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results