IntegrationsUservoiceGPT-trainer
Uservoice + GPT-trainer

Connect Uservoice and GPT-trainer to Build Intelligent Automations

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Uservoice

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GPT-trainer

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Frequently Asked Questions

How do I start an integration between Uservoice and GPT-trainer?

To start, connect both your Uservoice and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Uservoice triggers actions in GPT-trainer (or vice versa).

Can we customize how data from Uservoice is recorded in GPT-trainer?

Absolutely. You can customize how Uservoice 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.

How often does the data sync between Uservoice and GPT-trainer?

The data sync between Uservoice and GPT-trainer typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Uservoice to GPT-trainer?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Uservoice and GPT-trainer?

Yes, you can set conditional logic to control the flow of data between Uservoice 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.

Uservoice

About Uservoice

Uservoice is a platform designed to help businesses gather and prioritize customer feedback, manage support tickets, and improve customer satisfaction. It provides tools for capturing user suggestions, voting on ideas, and tracking the progress of feature requests.

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GPT-trainer

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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