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OpenDAS
ColossalAI
Commits
c626b239
Unverified
Commit
c626b239
authored
Oct 18, 2022
by
Jiarui Fang
Committed by
GitHub
Oct 18, 2022
Browse files
[doc] update recommedation system urls (#1725)
parent
51b89d22
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README-zh-Hans.md
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README-zh-Hans.md
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c626b239
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@@ -150,7 +150,7 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
### 推荐系统模型
-
[
Cached Embedding
](
https://github.com/hpcaitech/
Freq
CacheEmbedding
)
, 使用软件Cache实现Embeddings,用更少GPU显存训练更大的模型。
-
[
Cached Embedding
](
https://github.com/hpcaitech/Cache
d
Embedding
)
, 使用软件Cache实现Embeddings,用更少GPU显存训练更大的模型。
<p
align=
"right"
>
(
<a
href=
"#top"
>
返回顶端
</a>
)
</p>
...
...
README.md
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c626b239
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@@ -154,7 +154,7 @@ distributed training and inference in a few lines.
Please visit our
[
documentation
](
https://www.colossalai.org/
)
and
[
examples
](
https://github.com/hpcaitech/ColossalAI-Examples
)
for more details.
### Recommendation System Models
-
[
Cached Embedding
](
https://github.com/hpcaitech/
Freq
CacheEmbedding
)
, utilize software cache to train larger embedding tables with a smaller GPU memory budget.
-
[
Cached Embedding
](
https://github.com/hpcaitech/Cache
d
Embedding
)
, utilize software cache to train larger embedding tables with a smaller GPU memory budget.
<p
align=
"right"
>
(
<a
href=
"#top"
>
back to top
</a>
)
</p>
...
...
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