Connect PostHog and GPT-trainer to Build Intelligent Automations
Enable Integrations or automations with these events of PostHog and GPT-trainer
Enable Integrations or automations with these events of PostHog and GPT-trainer
Actions
Capture Event
Record a user event in PostHog using a distinct user ID and optional properties.
List Users
Retrieve a paginated list of PostHog users, optionally filtered by email or staff status.
List all Organizations
List all organizations
List all Project
List all project
List all Members
List all members
Create Project
Create a project in PostHog
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Frequently Asked Questions
To start, connect both your PostHog and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in PostHog triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how PostHog 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 PostHog 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 PostHog 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 PostHog
PostHog is an open-source product analytics platform that provides businesses with the tools to understand user behavior and improve their products. It offers features such as event tracking, session recording, and feature flags, enabling teams to make data-driven decisions and enhance user experiences.
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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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