Table of Contents
Step 1: Sign Up or Log In
Create Your Account: Go to the Dojo AI website and sign up for a new account.
Log In: Use your credentials to log in to your Dojo AI dashboard.
Step 2: Create a New Dataset
Navigate to Model Training: On your dashboard, click on the "Training" tab.
Start a New Training Session: Click on the “New Dataset” button. Select the type of content you want to train, such as Tweets, Emails, LinkedIn, Short Form Scripts, or choose “Other” for custom types. By using our templates, we help you automate the prompting process.
For instance, if you select LinkedIn, we automate the “Prompt Template” to say: “Write a LinkedIn Post about %TOPIC% in the style of LinkedIn.”
Thus, the %TOPIC% variable is all you'll need to input in your dataset. So, if you enter “pizza” into your dataset, the AI will interpret it as: “Write a LinkedIn Post about pizza in the style of LinkedIn.”
We also automate the system prompt, which serves as the overall instructions for the model. If you choose “Other,” you will need to create these prompts yourself.
For example, if you select the LinkedIn template, we set the system prompt to: “You are an expert at writing effective LinkedIn posts. Please write a LinkedIn post about the topic I provide. ”
Step 3: Prepare Your Dataset
Method 1: CSV
The recommended method is to upload a CSV full of the content you want to train it on.
Upload Your Data: Click on the "Import" button and select “Import CSV”.
Select your CSV file.
Map Your Fields: Map your fields to the topic & output.
Topic: What the content is about. Example: “How successful people are typically into fitness.”
Output: The desired output showcasing the style you want. Example: “Almost all the successful people I know have a fitness habit. They're religious about going to the gym. Why? Because fitness teaches you that if you just go and do this thing repetitively over the course of months and years, even if it's tiny improvements each time, over time, it’s going to lead to a big exponential increase in growth.”
Review Your Data: Ensure everything makes sense. If you just have your example outputs, go through and add topics. Be sure you remove any examples that might confuse the model, such as text captions for images that don’t provide useful context.
Method 2: Manual Entry
You can also manually enter each example one by one.
Enter Input and Output: For each example, manually type the topic of your content and the corresponding output you want to train it on.
Save Each Entry: After entering each example, click “Save” to add it to your dataset.
Step 4: Train Your Model
Initiate Training: Navigate to the “Models” tab and select "New Model" to begin the training process.
Name Your Model: Enter a unique name for your model in the "Model Name" field.
Add a Description: Provide a short description of what your model does in the "Description" field. This helps you keep track of the purpose of each model.
Customize Your Model: Choose a color and an emoji to identify your model. This customization helps in easily recognizing your model in the dashboard.
Initiate Training: Once you have at least 10 examples, click the “Train model” button to begin the training process. We recommend at least 30-50 for better results. Dojo AI will process your dataset and start learning the patterns and nuances of your content. Note that training your model will cost credits, as indicated in the interface. Training typically takes 5-20 minutes depending on the size of your dataset.