Connect CARTO and GPT-trainer to Build Intelligent Automations
Choose a Trigger
When this happens...
New Job
Choose an Action
Automatically do this!
Create QA Source
Create URL Source
Create Source Tag
Use the Built-in Integrations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Job
Triggers when new job is created.
Do thisActions
Action is the task that follows automatically within your CARTO integrations.
Import Job
Import a job.
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 CARTO and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in CARTO triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how CARTO 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 CARTO 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 CARTO 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 CARTO
CARTO is a powerful platform for location intelligence and spatial data analysis. It enables users to visualize, analyze, and gain insights from geospatial data, making it an essential tool for businesses and organizations looking to leverage location-based data for decision-making and strategic planning.
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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