Connect EKM and GPT-trainer to Build Intelligent Automations
Choose a Trigger
When this happens...
New Customer
New Order
New Product
Choose an Action
Automatically do this!
Create QA Source
Create URL Source
Create Source Tag
Ready to use EKM and GPT-trainer automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Customer
Runs when a new customer is created.
New Order
Trigger when new order is created in your account.
New Product
Trigger when new product is created in your account.
Do thisActions
Action is the task that follows automatically within your EKM integrations.
Create Customer
Add a new customer to the EKM account.
Create Product
Add a new Product to the EKM account.
Update Product
Update the details of an existing product.
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 EKM and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in EKM triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how EKM 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 EKM 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 EKM 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 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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