Connect Webengage and GPT-trainer to Build Intelligent Automations
Enable Integrations or automations with these events of Webengage and GPT-trainer
Enable Integrations or automations with these events of Webengage and GPT-trainer
Actions
Add User
Adds a new user to your WebEngage account.
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 Webengage and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Webengage triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Webengage 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 Webengage 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 Webengage 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 Webengage
Webengage is a comprehensive marketing automation platform that helps businesses engage with their customers through personalized communication across multiple channels. It offers tools for customer segmentation, journey mapping, and analytics to enhance customer retention and conversion rates.
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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