Getting Started

Step-by-step guide to set up an account and get started quickly.

Welcome to PropulsionAI! Follow these simple steps to get up and running quickly. In just a few minutes, you'll be able to create your first project, upload a dataset, and start training your custom model.

1. Create an Account

To get started, go to https://app.propulsionhq.com/signup and create your PropulsionAI account. Simply enter your details, and you'll be ready to start building and deploying your custom models.

2. Create a New Project

Once you've logged in, the first step is to create a new project. Projects are where you organize your datasets, models, and deployments. To create a new project:

• Click on the "New" button on the dashboard.

• Enter a name and description for your project.

• Click "Create" to set up your project.

3. Upload a Dataset

Datasets are the foundation for training your models. You can either upload your own dataset or use a sample dataset to get started quickly.

• Navigate to the "Datasets" section of your project.

• Click "New" and enter a name and description for your dataset.

• Click "Upload Dataset" and select your dataset file (JSONL format is recommended).

• If you don't have a dataset ready, you can download a sample JSONL dataset here to try out the platform.

• Once uploaded, you will need to map the columns in your dataset file to the columns supported by PropulsionAI.

• Now, you'll be able to manage, search, and tag items within the dataset.

4. Create a New Model and Version

Now that you have your dataset ready, it's time to create a model:

• Go to the "Models" section of your project.

• Click "Create New Model" and enter a name for your model.

• After creating the model, navigate inside it and, create a version by selecting "Create Version".

• Configure the model version with the desired settings, such as base model, training hardware and, link it to your uploaded dataset.

5. Start Training

With your model version created, you can now start training:

• Click "Start Training" to begin the fine-tuning process.

• Monitor the training progress and adjust parameters as needed to optimize performance.

6. Deploy Your Model

Once training is complete, your model is ready for deployment:

• Go to the "Deployments" section of your project.

• Click "New" and select the model version you trained (or a base model) and the hardware you want to deploy the model on.

• [PRO] Choose your deployment environment (PropulsionAI Cloud, on-premise, or your private cloud).

• Click "Deploy" to make your model available for production use.

You're now ready to start leveraging your custom model in your applications. Explore the platform further to refine your model, integrate it with your systems, and unlock the full potential of PropulsionAI.