Connect Mobile Message and GPT-trainer to Build Intelligent Automations
Ready to use Mobile Message and GPT-trainer automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Inbound SMS Instant
Triggers when an inbound SMS is received.
Do thisActions
Action is the task that follows automatically within your Mobile Message integrations.
Send SMS
Sends an SMS message.
Lookup Sent Messages
Get details of a sent message using message_id or custom_ref.
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 Mobile Message and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Mobile Message triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Mobile Message 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 Mobile Message 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 Mobile Message 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 Mobile Message
Mobile Message is a comprehensive platform for managing and automating SMS communications, enabling businesses to effectively engage with their audience through personalized messaging solutions.
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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