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[doc] update recommedation system urls (#1725)
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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
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### 推荐系统模型
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- [Cached Embedding](https://github.com/hpcaitech/FreqCacheEmbedding), 使用软件Cache实现Embeddings,用更少GPU显存训练更大的模型。
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- [Cached Embedding](https://github.com/hpcaitech/CachedEmbedding), 使用软件Cache实现Embeddings,用更少GPU显存训练更大的模型。
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<p align="right">(<a href="#top">返回顶端</a>)</p>
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@ -154,7 +154,7 @@ distributed training and inference in a few lines.
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Please visit our [documentation](https://www.colossalai.org/) and [examples](https://github.com/hpcaitech/ColossalAI-Examples) for more details.
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### Recommendation System Models
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- [Cached Embedding](https://github.com/hpcaitech/FreqCacheEmbedding), utilize software cache to train larger embedding tables with a smaller GPU memory budget.
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- [Cached Embedding](https://github.com/hpcaitech/CachedEmbedding), utilize software cache to train larger embedding tables with a smaller GPU memory budget.
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<p align="right">(<a href="#top">back to top</a>)</p>
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