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Transformer 架构的伟大之处,不仅在于提出了注意力机制,更在于提供了一套 “模块化” 的设计框架 —— 通过组合编码器(Encoder)和解码器(Decoder),可以衍生出多种结构变体。从 BERT 的 “纯编码器” 到 GPT 的 “纯解码器”,从 T5 的 “编码器 - 解码器” 到 ...
In recent years, with the rapid development of large model technology, the Transformer architecture has gained widespread attention as its core cornerstone. This article will delve into the principles ...
Discover the key differences between Moshi and Whisper speech-to-text models. Speed, accuracy, and use cases explained for ...
IIT Bombay researchers develop AI model for interpreting satellite images with natural language prompts, revolutionising ...
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