
When this happens...

Automatically do this!
List Account Types
Create team
Create workbook
List Datasets
List All Connections
Create File
Enable Integrations or automations with these events of GPT-trainer and Sigma Computing
Create a QA source for a chatbot specified by chatbot uuid
Creates a URL source for a chatbot specified by chatbot uuid.
Create a source tag for a chatbot.
Get all account types with their IDs, names, and descriptions.
Create a new team and optionally add a description, members, a team folder, and set visibility (public or private).
Create a new workbook in a folder and optionally set its owner and description.

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To start, connect both your GPT-trainer and Sigma Computing accounts to viaSocket. Once connected, you can set up a workflow where an event in GPT-trainer triggers actions in Sigma Computing (or vice versa).
Absolutely. You can customize how GPT-trainer data is recorded in Sigma Computing. This includes choosing which data fields go into which fields of Sigma Computing, setting up custom formats, and filtering out unwanted information.
The data sync between GPT-trainer and Sigma Computing 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 GPT-trainer and Sigma Computing. 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 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.
Learn MoreSigma Computing offers a powerful cloud-based analytics platform designed to empower teams with data-driven insights. It enables users to explore, analyze, and visualize data without the need for complex coding, making it accessible for everyone in the organization.
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