https://terms-en.ai-term-hub.com/zh/tags/mechanism/Recent content in Mechanism on 中文AI术语词典Hugozh-cnSat, 18 Jul 2026 11:44:45 +0000https://terms-en.ai-term-hub.com/zh/terms/attention/Sat, 18 Jul 2026 10:59:15 +0000https://terms-en.ai-term-hub.com/zh/terms/attention/<h2 id="definition">Definition</h2> <p>注意力机制使模型在处理输入（特别是文本等序列数据）时能够关注相关信息。通过计算注意力分数，模型确定哪些元素对当前任务最相关，从而捕捉长距离依赖关系并增强上下文理解。</p> <h3 id="summary">Summary</h3> <p>一种允许神经网络动态权衡输入序列不同部分重要性的机制。</p> <h2 id="key-concepts">Key Concepts</h2> <ul> <li>自注意力</li> <li>上下文加权</li> <li>长距离依赖</li> <li>Transformer架构</li> </ul> <h2 id="use-cases">Use Cases</h2> <ul> <li>跨语言机器翻译</li> <li>长文档摘要</li> <li>图像描述生成和视觉问答</li> </ul> <h2 id="related-terms">Related Terms</h2> <ul> <li><a href="https://terms-en.ai-term-hub.com/en/terms/transformer-transformer%E6%9E%B6%E6%9E%84/">Transformer (Transformer架构)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/self-attention-%E8%87%AA%E6%B3%A8%E6%84%8F%E5%8A%9B/">Self-Attention (自注意力)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/multi-head-attention-%E5%A4%9A%E5%A4%B4%E6%B3%A8%E6%84%8F%E5%8A%9B/">Multi-Head Attention (多头注意力)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/sequence-modeling-%E5%BA%8F%E5%88%97%E5%BB%BA%E6%A8%A1/">Sequence Modeling (序列建模)</a></li> </ul>