Connect GPT-trainer and retriever to Build Intelligent Automations

Choose a Trigger

GPT-trainer

When this happens...

Choose an Action

retriever

Automatically do this!

Enable Integrations or automations with these events of GPT-trainer and retriever

Enable Integrations or automations with these events of GPT-trainer and retriever

Actions

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.

Request a new Action for GPT-trainer

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Frequently Asked Questions

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

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

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

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

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

The data sync between GPT-trainer and retriever 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 retriever?

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 retriever?

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

About retriever

Retriever facilitates laptop and monitor returns for companies with remote employees.

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