Connect SendGrid and GPT-trainer to Build Intelligent Automations
Enable Integrations or automations with these events of SendGrid and GPT-trainer
Enable Integrations or automations with these events of SendGrid and GPT-trainer
Actions
Create or Update Contact
This action allows you to add or update a Contact in SendGrid. You can use this action to add the contact to the list.
Add Recipient to SendGrid
Add a Recipient to SendGrid List.
Add a Single Recipient to a List
Adds an existing recipient to a specified SendGrid contact list.
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 SendGrid and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in SendGrid triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how SendGrid 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 SendGrid 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 SendGrid 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 SendGrid
SendGrid, a Twilio service, offers cloud-based solutions to facilitate email marketing campaigns, transactional emails, and direct email communication through API, SMTP Relay, and Marketing Campaigns interface.
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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