EPISODE · Nov 9, 2024 · 3 MIN
AI 广播电台 - 科技频道：混合Transformer模型，多模态基础模型的稀疏且可扩展架构
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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！
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AI 广播电台 - 科技频道：混合Transformer模型，多模态基础模型的稀疏且可扩展架构
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