自从Transformer模型问世以来，它依然是人工智能领域的中流砥柱。作为深度学习中的一场革命，Transformer不仅主导了自然语言处理（NLP），更扩展到了计算机视觉、语音处理等多个领域。如今，伴随着大语言模型（如GPT-4与Bard）所引发的生成式人工智能热潮，以及VisionTransformer在图像分析中的崭露头角，Transformer的影响力无处不在。更值得一提的是，研究人员不 ...

1. 与其颠覆 Transformer，不如专注改良 Attention？ 为什么 Transformer 不会是 AGI 的最终版本？Attention 的局限引出了哪些改良路线？传统 Attention 变体被 ...

The classic transformer architecture used in LLMs employs the self-attention mechanism to compute the relations between tokens. This is an effective technique that can learn complex and granular ...

This self-attention mechanism was incorporated into ... The results of the study indicated that transformer models can be used as effective tools in predicting alloy properties.