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 ...

Large language models (LLMs) are poised to have a disruptive impact on health care. Numerous studies have demonstrated ...

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 ...

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.

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 ...