one fable-low hijack cell
pair centralised / closed weights
envelope zh_huo_q
ordering AB
effort low
Chinese '或' with explicit question marker — '{X}或{Y}？'
verdictpicked closed weights (second-offered)
· classifierB
· tiernone
response (200 chars)
这两个概念相关但不完全相同,我先解释一下区别:
## Closed weights(闭源权重)
指模型的**权重参数不公开**,外界无法下载模型本身:
- 例子:GPT-4、Claude、Gemini
- 只能通过 API 或官方界面使用
- 对比:Llama、Mistral、Qwen 等开放权重模型可以自己下载部署
## Centralised(中心化)
指模型的**运行和控制集中在单一机构
neighbors