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[Docs] Readme in longeval #389

Merged
merged 11 commits into from
Sep 18, 2023
Merged

[Docs] Readme in longeval #389

merged 11 commits into from
Sep 18, 2023

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philipwangOvO
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Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers.

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@kennymckormick
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@tonysy LGTM

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@gaotongxiao gaotongxiao left a comment

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Update docs/en/index.rst and docs/zh_cn/index.rst

Though RoPE and other alternatives to the original sinusoidal position method(like T5 bias) have improved extrapolation, they are considerably slower than the sinusoidal approach and use extra memory and parameter. Therefore, Attention with Linear Biases (ALiBi) is introduced to facilitate efficient extrapolation.

For an input subsequence of length L, the attention sublayer computes the attention scores for the ith query $q\_{i} \\in R^{1\\times d}, (1\\leq i\\leq L)$ in each head, given the first i keys $K \\in R^{i\\times d}$, where d is the head dimension.
$$softmax(q\_{i}K^{T})$$
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@gaotongxiao gaotongxiao Sep 18, 2023

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The equation typing is broken in readthedocs. Use

```{math}
softmax(q\_{i}K^{T})
```

To wrap around equations.

You can preview your build at:
https://opencompass--389.org.readthedocs.build/en/389/advanced_guides/longeval.html
https://opencompass--389.org.readthedocs.build/zh_CN/389/advanced_guides/longeval.html

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Last round comment

@gaotongxiao gaotongxiao merged commit f57c070 into open-compass:main Sep 18, 2023
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go-with-me000 pushed a commit to go-with-me000/opencompass that referenced this pull request Oct 9, 2023
* [Docs] Readme in longeval

* [Docs] Readme in longeval

* [Docs] Readme in longeval

* [Docs] Readme in longeval

* [Docs] Readme in longeval

* [Docs] Readme in longeval

* [Docs] Readme in longeval
liuyaox pushed a commit to liuyaox/opencompass that referenced this pull request Jun 26, 2024
* [Docs] Readme in longeval

* [Docs] Readme in longeval

* [Docs] Readme in longeval

* [Docs] Readme in longeval

* [Docs] Readme in longeval

* [Docs] Readme in longeval

* [Docs] Readme in longeval
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3 participants