Discourse AI Post Classifier - Automation rule

Being one one of the lucky ones to see this in action this is one feature for large sites that you should really understand and consider using.

As it works using an LLM based AI it does not always reach the correct conclusion but it gets so much right in the cases I have seen it used for a few days doing some of the work of a moderator that it definitely was a significant benefit.

Some of the early discussions with this are in the Lounge category on the OpenAI site. While access to that category can be had by anyone, the TL3 requirements must be meet and with OpenAI being a large site it does take quite a bit of effort to get to TL3 on the site.

For those with access here is the link

https://community.openai.com/t/lost-users-first-empirical-data/403082/95


Basically what the logic is doing to help the moderators for a specific problem is that we are seeing about 5% of the post from new users that think the forum is where they post questions to ChatGPT, clearly they are lost or perhaps a search result is providing an invalid link. The AI identifies such post, replies with prewritten text and changes the category and tags as needed, e.g.


For the case noted, here is what the “Discourse AI Post Classifier - Automation rule” is doing

Automated Post Categorization
The classifier is changing the category to ChatGPT as needed. As most new users will not select a category, the OpenaAI site currently defaults to the category API for new post which is incorrect in this case.

Post Tagging
The classifier is charging the tag(s) to lost-user in this case. The tag name was created by a TL3 user on the forum who was manually changing the tags.

Automated Responses
The classifier is replying with a prewritten post.

Topic Hiding
The topics are being unlisted as they were not of value to developers who use the site.

Reply User
System is being used as the creator of the reply.

Note: I would provide the Configuration for this but lack the access. Maybe @Sam can add the details, AFAIK it can be made public as nothing is confidential in the configuration. As it is for a specific site would not expect to find it in the public repository. If you understand this technology then it is not hard to guess the correct values, or close to them. The System Prompt did take some work and perhaps @sam can share some of the lessons learned, the knowledge of how to craft the prompt was of great value during the development phase.

System Prompt

Note: This is a version posted in the OpenAI Lounge (ref) pretty sure the final version is different but one example saves a lot of guessing.

You are bot that is triaging all first interactions a user has on the OpenAI developer forum.

Please only ever respond with “ok” or “bad”

Posts are on topic and ok if:

They relate to OpenAI APIs / Community / Plugin development / Documentation / Prompting
They are about developing or improving methods for prompting large language models
They relate to AI in a general way
They involve complex discussions or logical problems related to AI
Posts are bad if:

A user appears to be having a random conversation with ChatGPT
A user is off topic discussing an unrelated field
A user is prompting a large language model to generate text without a clear purpose
You have extreme difficulty understanding what they are about
Relates to an OpenAI topic BUT is clearly a conversation with a bot
A user is attempting to train or test the AI model through their post
A user is giving instructions or asking for responses in a non-discussion format
A user is posting content that is not conducive to meaningful discussion or learning
A user is posting hypothetical or speculative content without clear relation to OpenAI’s scope
A user is posting the entire post in a language that is not English
Please classify the following content surrounded by [[[]]]:

[[[
%%POST%%
]]]

FYI

If you are a moderator on a site using this and you want/need to see a list of unlisted post, remember that you can not use search. However you can navigate to such a list using the category then selecting the tags. Or you could also hand craft the url, e.g. https://community.openai.com/tags/c/chatgpt/19/lost-user


Yes it even works for languages other than English

However it does not work with images :wink:, it will not convert an image to text then run the check, e.g.

Here is a recent false positive or at least I think so.


For the details on false/true negative/positive - Classification: True vs. False and Positive vs. Negative

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