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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Event
Trigger when new event created.
New Attendee
Triggers when a new attendee is added.
New Checkin
Triggers when an attendee is checked in.
New Order
Trigger when new order is created
Do thisActions
Action is the task that follows automatically within your Zoho Backstage integrations.
Get Attendee Details
Get attendee details by unique id.
Create Offline Order
Creates an order in offline mode
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 Zoho Backstage and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Zoho Backstage triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Zoho Backstage 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 Zoho Backstage 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 Zoho Backstage 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 Zoho Backstage
Zoho Backstage is an enterprise event management tool to help you create memorable event experiences.
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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