Connect GPT-trainer and MediaWiki to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for GPT-trainer
Choose an Action
Automatically do this!
- Request a new Action for MediaWiki
Enable Integrations or automations with these events of GPT-trainer and MediaWiki
Enable Integrations or automations with these events of GPT-trainer and MediaWiki
Actions
Create QA Source
Create a QA source for a chatbot specified by chatbot uuid
Create URL Source
Creates a URL source for a chatbot specified by chatbot uuid.
Create Source Tag
Create a source tag for a chatbot.
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Frequently Asked Questions
To start, connect both your GPT-trainer and MediaWiki accounts to viaSocket. Once connected, you can set up a workflow where an event in GPT-trainer triggers actions in MediaWiki (or vice versa).
Absolutely. You can customize how GPT-trainer data is recorded in MediaWiki. This includes choosing which data fields go into which fields of MediaWiki, setting up custom formats, and filtering out unwanted information.
The data sync between GPT-trainer and MediaWiki typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between GPT-trainer and MediaWiki. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About GPT-trainer
GPT Trainer is a platform designed to enhance and customize the training of AI models, particularly those based on the GPT architecture. It provides tools and resources for developers and researchers to fine-tune and optimize AI models for specific tasks and applications.
Learn MoreAbout MediaWiki
MediaWiki is a free and open-source wiki software platform that allows users to create, edit, and manage collaborative content. It is widely used for creating and maintaining wikis, including the well-known Wikipedia. MediaWiki provides a robust framework for organizing and sharing information, making it ideal for both public and private knowledge bases.
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