跳到主内容
@wquguru
精选70elvis模型发布/更新

递归自改进训练1T医疗Agent模型,推理成本降低20-100倍

Exciting launch using recursive self-improvement.

原文
发到 X

Exciting launch using recursive self-improvement.

This is just the beginning of it, but this team trained a 1T agentic model for healthcare using RSI.

Gains: 20–100x lower inference cost and comparable performance to leading frontier models.

更进一步:量化金融体系

看懂新闻只是起点——沿量化金融路径,把它变成能交付的工程能力

进入量化体系 →

相似阅读

另一事件,读法相近