Skip to content

docs:修改AVF-BEL科普文档表述错误 #557

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
VirtuosaHutb wants to merge 1 commit into
base: master
Choose a base branch
from
Open

docs:修改AVF-BEL科普文档表述错误 #557

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion docs/paper/avf.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,7 @@ AVF-BEL 模型的核心理念，就是在计算模型中模拟这条从感知到

## 亮点与优势：轻量、可解释

与动辄百亿参数、需要 GPU 集群的多模态大模型（如 ViLBERT、CLIP）相比，AVF-BEL 模型展现出了独特的魅力：
与动辄百亿参数、需要 GPU 集群的多模态大模型（如 ViLBERT）相比，AVF-BEL 模型展现出了独特的魅力：

* **极致轻量**：整个模型总参数量仅约 208 万，其中核心的情感学习模块更是只有 8 个可训练的权重。它可以在普通 CPU（如 Intel i7-6500U）和 8GB 内存的电脑上运行，整个代码和数据包不足 50MB。

Expand Down
Loading