Connect GPT-trainer and Un-static to Build Intelligent Automations

Choose a Trigger

GPT-trainer

When this happens...

Choose an Action

Un-static

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Ready to use GPT-trainer and Un-static automations

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Form

New Form

Triggers when a new form is created.

Request a new Trigger for GPT-trainer

Do thisActions

Action is the task that follows automatically within your GPT-trainer integrations.

Create QA Source

Create QA Source

Create a QA source for a chatbot specified by chatbot uuid

Create URL Source

Create URL Source

Creates a URL source for a chatbot specified by chatbot uuid.

Create Source Tag

Create Source Tag

Create a source tag for a chatbot.

List Forms

List Forms

List all forms in your account.

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Frequently Asked Questions

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

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

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

Absolutely. You can customize how GPT-trainer data is recorded in Un-static. This includes choosing which data fields go into which fields of Un-static, setting up custom formats, and filtering out unwanted information.

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

The data sync between GPT-trainer and Un-static 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 GPT-trainer to Un-static?

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 GPT-trainer and Un-static?

Yes, you can set conditional logic to control the flow of data between GPT-trainer and Un-static. 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.

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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Un-static

About Un-static

Un-static is a dynamic platform designed to revolutionize the way you manage and interact with your digital content. With a focus on flexibility and innovation, Un-static offers tools to enhance your content creation and management processes, making it easier to adapt to changing needs and trends.

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