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关于专家的职能 about onellm HOT 2 CLOSED

spidercatfly avatar spidercatfly commented on August 15, 2024
关于专家的职能

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Comments (2)

csuhan avatar csuhan commented on August 15, 2024 1

感谢您对我们工作的关注!

您的理解是合理的。本文首先训练Image-to-LLM的projection module,并逐渐将其他模态的X-to-LLM projection也加入到相同的模块当中。 本质上是将一个Image-to-LLM模块进行微调,使其适应X-to-LLM alignment。

此处frozen image encoder作为一个通用的high-level semantic feature extractor,在一定程度上会限制其他模态的学习。可以简单的可以理解为其他模态与image的对齐。然而由于projection module会在多种数据上联合训练,其最终状态可能为一种折中状态,而非单纯的将其他模态对齐到image。
image

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spidercatfly avatar spidercatfly commented on August 15, 2024 1

get! 感谢讲解!
确实是很nice的思路

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