# ChatGPT 集成工具用于 Discourse

**URL:** <https://meta.discourse.org/t/chatgpt-integration-tools-for-discourse/256127>\
**Category:** Support\
**Created:** [2023年二月24日 03:16 UTC](https://meta.discourse.org/t/chatgpt-integration-tools-for-discourse/256127 "2023-02-24T03:16:04Z")\
**Posts on this page:** 1\
**Showing post:** 11

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**Author:** ![Canapin](https://sea3.discourse-cdn.com/meta/user_avatar/meta.discourse.org/canapin/32/119591_2.png) [@Canapin](https://meta.discourse.org/u/Canapin)\
**Post date:** [2023年二月27日 14:28 UTC](https://meta.discourse.org/t/chatgpt-integration-tools-for-discourse/256127/11 "2023-02-27T14:28:10Z")

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你好 @samp_one 👋

我认为 Falco 发布的这个链接回答了你的主要问题：

> [@Summarising topics with an LLM (GPT, BERT, ...)?](https://meta.discourse.org/t/summarising-topics-with-an-llm-gpt-bert/254951):
>
> Dear discourse team, Discourse has the ability to summarise long threads. My understanding is that it uses engagement metrics like reactions or number of replies to identify what posts should be kept. In my community (internal communication within the company) this almost never triggers despite threads that are 20 pages long (reply count is not the best trigger for us) A more powerful approach would be to use an LLM like GPT-3 or BERT to summarise the whole thread on demand (vs just filtering …

我将把这个 #Support 主题设置为关闭，但如果你认为链接的讨论没有提供你想要的正确答案或讨论，请随时告诉我们 🙂

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