Connect Seafile and GPT-trainer to Build Intelligent Automations
Enable Integrations or automations with these events of Seafile and GPT-trainer
Enable Integrations or automations with these events of Seafile and GPT-trainer
Actions
Create Group
Creates a Group.
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 Seafile and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Seafile triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Seafile data is recorded in GPT-trainer. This includes choosing which data fields go into which fields of GPT-trainer, setting up custom formats, and filtering out unwanted information.
The data sync between Seafile and GPT-trainer 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 Seafile and GPT-trainer. 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 Seafile
Seafile is a powerful open-source file synchronization and sharing platform designed for high reliability, performance, and productivity. It allows users to store and manage files securely, collaborate with team members, and access files from any device. With features like file versioning, encryption, and seamless integration with various tools, Seafile is ideal for both personal and enterprise use.
Learn MoreAbout 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.
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