AI Training Models: Creation, Configuration, and Training

AI training models provide you with the ability to create and fine-tune custom AI solutions based on large language models. In this article, we will guide you through the process of creating, configuring, and training AI models using Naologic's AI training module.

Creating an AI Training Model

To create an AI training model, follow these steps:

1. Navigate to the AI training tab in your Naologic workspace.

2. Click on the "AI Training Models" tab to access the AI training models table.

3. Locate the "Create Training Model" button at the top of the table and click on it.

4. You will be presented with a form containing two tabs: Model Settings and Description.

Configuring Model Settings

In the Model Settings tab, you will configure your AI training model and prepare it for training:

1. Define the model name and suffix.

2. Choose an available large language model to base your new model on.

3. Specify whether your model is experimental or production.

4. Configure technical settings such as the number of epochs, batch size, learning rate multiplier, prompt loss weight classification, and classification betas. You can either modify these settings or leave them at their default values.

Adding a Model Description

In the Description tab, provide a brief description of your AI training model to help you identify its purpose and function.

Once you are satisfied with your settings and description, click "Create Training Model." Your new model will be added to the AI training models table and will be ready for use.

Training Your AI Model

To train your AI model, follow these steps:

1. In the AI training models table, hover over your model and select the "Train Model" option.

2. This action will initiate a training session using the data you've injected into your model from the DataGym app since your last training session.

3. Confirm your action to start the training process.

4. You can monitor the progress of your training session in the Training Sessions table.

Managing Your AI Training Models

In the AI training models table, you will find several options for managing your models:

• Train Model: This option initiates a new training session for your model.

• Developer Log: Access logs related to the development and performance of your model.

• Edit: Modify the settings and description of your AI training model.

• Deactivate: Temporarily disable your AI training model.

AI training models offer a powerful and flexible solution for creating custom AI models tailored to your specific needs. By using Naologic's AI training module, you can create, configure, and train your own AI models based on established large language models, ultimately enhancing your business processes and decision-making capabilities.