OpenAI Training Hooks in Naologic Actions

OpenAI Training Hooks enable integration with OpenAI services through API connections, providing advanced functionality for AI model training, prompt execution, and real-time interactions. These hooks streamline workflows that leverage OpenAI's AI capabilities.

OpenAI: Cancel Model Training

The Cancel Model Training function stops an ongoing model training session. This is useful for halting training processes that are no longer required or need adjustments.

OpenAI: Check the Status of the Training

The Check the Status of the Training function retrieves the current status of an AI model training session. It provides details on progress, completion, or potential errors.

OpenAI: Create a Bulk of Prompt Documents

The Create a Bulk of Prompt Documents function generates multiple prompt documents in a single action. This is ideal for bulk processing and preparing large datasets for training or inference.

OpenAI: Delete File and Fine-Tune

The Delete File and Fine-Tune function removes a specific file and triggers a fine-tuning process for an AI model. This function ensures that models are updated with the latest data.

OpenAI: Execute Prompt from External Source

The Execute Prompt from External Source function runs a specified prompt using external data sources. This allows integration of real-time or external data into prompt executions.

OpenAI: Generate Output from Bulk Prompt

The Generate Output from Bulk Prompt function processes multiple prompts and generates corresponding outputs. This is useful for batch inference tasks.

OpenAI: Generate Output from Prompt

The Generate Output from Prompt function produces an output based on a single prompt. This function is commonly used for real-time inference or single-prompt processing.

OpenAI: Get Suggestions for Prompts

The Get Suggestions for Prompts function provides recommendations for creating effective prompts. This function is helpful for optimizing interactions with AI models.

OpenAI: Start a Chat Session

The Start a Chat Session function initiates a chat session with an OpenAI model, enabling real-time conversation and interaction.

OpenAI: Stop an On-Going User Session

The Stop an On-Going User Session function terminates an active user session with an AI model. This is used to manage session lifecycle and resource utilization.

OpenAI: Train Model

The Train Model function starts the training of an AI model with specified data. This function supports custom model development and enhancement.

How to Add an OpenAI Training Hook

To add any of the OpenAI Training Hooks to an action:

1. Open the action you wish to edit.

2. Click on the "Add Function" button inside the action edit modal.

3. Search for the desired OpenAI Training Hook in the list of available functions.

4. Select the function to include it in the action.

5. Save the action settings.

Once configured, these hooks will integrate seamlessly with OpenAI services, enabling powerful AI-driven workflows and model management.