Skip to content
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

docs(README): update arxiv link #3

Merged
merged 2 commits into from
Jan 18, 2024
Merged

docs(README): update arxiv link #3

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
05d763b
Update README_zh.md
tpoisonooo Jan 18, 2024
a591115
Update README.md
tpoisonooo Jan 18, 2024
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 README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@

1. Deal with complex scenarios like group chats, answer user questions without causing message flooding.
2. Propose an algorithm pipeline for answering technical questions.
3. Low deployment cost, only need the LLM model to meet 4 traits can answer most of the user's questions, see [technical report](./resource/HuixiangDou.pdf).
3. Low deployment cost, only need the LLM model to meet 4 traits can answer most of the user's questions, see our [arxiv2401.08772](https://arxiv.org/abs/2401.08772).

Check out the [scenes in which HuixiangDou are running](./huixiangdou-inside.md), and join our [WeChat group](./resource/figures/wechat.jpg) to experience the latest version.

Expand Down
2 changes: 1 addition & 1 deletion README_zh.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@

1. 应对群聊这类复杂场景，解答用户问题的同时，不会消息泛滥
2. 提出一套解答技术问题的算法 pipeline
3. 部署成本低，只需要 LLM 模型满足 4 个 trait 即可解答大部分用户问题，见[技术报告](./resource/HuixiangDou.pdf)
3. 部署成本低，只需要 LLM 模型满足 4 个 trait 即可解答大部分用户问题，见[技术报告 arxiv2401.08772](https://arxiv.org/abs/2401.08772)

查看[茴香豆已运行在哪些场景](./huixiangdou-inside.md)，加入[微信群](./resource/figures/wechat.jpg)体验最新版效果。

Expand Down
Loading