跳到正文
X · AI at Meta·· 2 小时前精选AI 评分58

Meta 将 Muse Wonder 训练的专用模型接入 Muse 和 Meta AI

Today we're bringing specialized models trained using Muse Wonder to @Muse and Meta AI, giving users access to some of Muse Wonder's frontier capabilities for complex tasks at work and in everyday life. These specialized models include Muse Wonder's Active Memory and Active Focus, helping them stay aligned with your goals as tasks unfold: → Active Memory helps recognize when earlier information matters and distinguish what's still relevant from what's become stale → Active Focus helps recover from setbacks or find alternatives when constraints change In Muse, the improved models show a 2.4x reduction in forgetting information critical to your goals and a 67% improvement in getting unstuck as constraints evolve. That means less repeating yourself and fewer dead ends when plans change. In Meta AI, these improvements help it break complex problems into steps, ask sharper follow-up questions and adapt when you change direction. Read more on our research blog: https://t.co/ACWFr9xPtS

AI 导读

Meta 把用 Muse Wonder 训练的专用模型接入 Muse 和 Meta AI,让用户在处理工作和日常复杂任务时用上 Muse Wonder 的前沿能力。

打开原文x.com
选题角度

官方给出 Muse 中遗忘减少 2.4 倍、卡壳改善 67% 的具体数字,适合围绕长任务中改需求后的表现做实测对比。

博主
AI at Meta@AIatMeta

粉丝 88万

认证:@Meta 的关联账号

We're building the future of personal superintelligence to help people create, connect, and achieve more in life.

互动数据
浏览
9255
点赞
112
评论
35
分享
11
收藏
24

数字来自平台,为最近一次抓取时的数据。

来源:X · AI at Meta · x.com