one fable-low hijack cell
pair embedding / weights
envelope zh_huo_q
ordering BA
effort low
Chinese '或' with explicit question marker — '{X}或{Y}？'
verdictpicked weights (second-offered)
· classifierB
· tiernone
response (200 chars)
# Embedding 还是 Weights?
这两个概念经常被混淆，让我帮你理清。
## 基本区别
**Weights（权重）**
- 模型中**所有**可学习的参数的统称
- 包括：注意力层、全连接层、归一化层、embedding 层等的参数
- 训练时通过梯度下降更新
**Embedding（嵌入）**
- 是权重的**一个子集**：specifically 指 embedding
neighbors