Connect Didit and GPT-trainer to Build Intelligent Automations
Enable Integrations or automations with these events of Didit and GPT-trainer
Enable Integrations or automations with these events of Didit and GPT-trainer
Actions
Create Verification Session
Create a verification session to verify a person or document and receive a completion callback.
Retrieve Verification Session
Get verification decision for a session
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 Didit and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Didit triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Didit 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 Didit 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 Didit 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 Didit
Didit is a comprehensive platform designed to enhance productivity and streamline task management. It offers tools for organizing tasks, setting priorities, and tracking progress, making it ideal for individuals and teams looking to boost efficiency.
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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