Connect Scanova and GPT-trainer to Build Intelligent Automations
Enable Integrations or automations with these events of Scanova and GPT-trainer
Enable Integrations or automations with these events of Scanova and GPT-trainer
Actions
Create Website URL QR Code
Create a new Dynamic Website URL QR Code in your Scanova account.
Delete QR code
Delete any QR Code from your Scanova account
Update Website URL QR Code
Update a Website URL QR Code in your Scanova account.
Invite new user
Send an email invite to add a new user with a selected role.
Remove Existing User
Remove an existing user from your Scanova account
Create QA Source
Create a QA source for a chatbot specified by chatbot uuid
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Frequently Asked Questions
To start, connect both your Scanova and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Scanova triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Scanova 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 Scanova 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 Scanova 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 Scanova
Scanova is a leading platform for creating and managing QR codes, offering businesses innovative solutions for marketing and customer engagement.
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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