FAQs
Last updated
Last updated
Welcome to the PropulsionAI FAQ section!
Here you'll find answers to some of the most common questions our users have. If you don't find the answer you're looking for, feel free to reach out to our support team.
PropulsionAI is a platform designed to simplify and accelerate the development, fine-tuning, and deployment of custom Large Language Models (LLMs). It provides tools for managing datasets, creating models, fine-tuning, deploying, and integrating these models into your applications.
To get started, sign up at . After creating your account, you can create a new project, upload a dataset, fine-tune a model, and deploy it using the quick start guides provided in our documentation.
Foundational models are pre-trained models provided by PropulsionAI that you can fine-tune with your own data or deploy directly without further customization. These models serve as a base for your AI projects, saving time and resources. You can choose a foundational model during the model creation process.
Fine-tuning is the process of customizing a pre-trained model using your specific dataset to make it more accurate and aligned with your use case. Fine-tuning helps improve the model's performance by training it on data that is relevant to your particular application.
You can upload a dataset in the "Datasets" section of your project. Supported formats include JSONL, JSON, and CSV. After uploading, you'll need to map the columns to ensure the data is correctly interpreted by PropulsionAI. You can also record datasets using SDK or deployments.
If you lose your API keys, you'll need to regenerate them. This will invalidate the old keys, causing any applications using those keys to lose access. Make sure to store your keys securely as they will only be visible once during generation.
Billing setup is required before generating API keys. You will receive $25 in free credits upon signing up. To set up billing, go to the "Billing" section and add a payment method by clicking "Add Card." Your balance will be visible in the billing section.
To deploy a model, go to the "Deployments" section, create a new deployment, select the model version, configure the hardware, and set the number of replicas. You can also choose to record conversations if needed. Once configured, click "Deploy" to make your model available for production use.
The Knowledge Base is a feature that allows you to store and manage domain-specific information that your models can reference. You can create a Knowledge Base by uploading files (PDF, DOCX, images) or adding textual content manually. It can be accessed in the Playground or through the SDK to enhance your model's accuracy and relevance.
Costs in PropulsionAI are based on the duration of training and deployment runs, determined by your hardware selection. Additionally, storage costs apply to datasets, and while charges for the Knowledge Base (storage, reads, and writes) will be implemented later, it's currently free during the beta period. Monitor your balance in the billing section to manage your budget effectively.
Yes, you can request additional models by emailing us at support@propulsionhq.com or sending a message on our . We continuously work to expand our model offerings to meet your needs.