
When this happens...

Automatically do this!
Create QA Source
Create URL Source
Create Source Tag
Enable Integrations or automations with these events of CircleCI and GPT-trainer
Creates a organization.
Creates a new URL Orb allow-list entry
Creates a new Project.
Creates an Environment variable.
Create a QA source for a chatbot specified by chatbot uuid
Creates a URL source for a chatbot specified by chatbot uuid.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your CircleCI and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in CircleCI triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how CircleCI 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 CircleCI 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 CircleCI 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.
CircleCI is a leading continuous integration and delivery platform that automates the software development process, allowing teams to build, test, and deploy applications quickly and efficiently. It integrates seamlessly with popular version control systems and provides powerful tools for managing complex workflows, ensuring high-quality software delivery.
Learn MoreGPT 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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