Connect GPT-trainer and Memory to Build Intelligent Automations

Choose a Trigger

GPT-trainer

When this happens...

Choose an Action

Memory

Automatically do this!

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

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

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.

Create a record

Create a record

Add a new record to Memory or update an existing one.

Find record

Find record

Find items by ID or matching fields.

Update a record

Update a record

Modify specific records using the Update by ID action. This allows you to directly update a particular entry in your MongoDB storage by its unique identifier, ensuring precise changes to your stored data.

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Frequently Asked Questions

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

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

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

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

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

The data sync between GPT-trainer and Memory 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 Memory?

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 Memory?

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

About Memory

A seamless, secure vault for your crucial data. The "Memory" integration offers MongoDB-based storage, enabling Create, Read, Update, and Delete operations. Effortlessly manage and safeguard your data within your automation flows, ensuring easy access and precise control throughout the process.

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