Description
欢迎收听 AI 广播电台 - 科技频道，您的个人生成式 AI 播客！在今天的节目中，我们将深入探讨一项关于混合Transformer模型（MoT）的有趣内容，它是一种稀疏且可扩展的架构，专门为多模态基础模型而设计。MoT 通过将非嵌入参数按模态分离，并保留对多模态序列的全局自注意力，从而优化了模态特定处理，同时保留了跨模态交互。让我们一起探索 MoT 的优势和应用吧！
Audio
Featured in this Episode
No persons identified in this episode.
Transcription
This episode hasn't been transcribed yet
Help us prioritize this episode for transcription by upvoting it.
0
upvotes
Popular episodes get transcribed faster
Other recent transcribed episodes
Transcribed and ready to explore now
SpaceX Said to Pursue 2026 IPO
10 Dec 2025
Bloomberg Tech
Don’t Call It a Comeback
10 Dec 2025
Motley Fool Money
Japan Claims AGI, Pentagon Adopts Gemini, and MIT Designs New Medicines
10 Dec 2025
The Daily AI Show
Eric Larsen on the emergence and potential of AI in healthcare
10 Dec 2025
McKinsey on Healthcare
What it will take for AI to scale (energy, compute, talent)
10 Dec 2025
Azeem Azhar's Exponential View
Reducing Burnout and Boosting Revenue in ASCs
10 Dec 2025
Becker’s Healthcare -- Spine and Orthopedic Podcast