Training a model

Training a custom model on genbeacon lets you create AI models tailored to your specific needs. Our platform simplifies the training process while giving you the control you need for optimal results.

What is model training?

Model training is the process of teaching an AI model to perform specific tasks using your data. Think of it like teaching a student - you provide examples of what you want, and the model learns to replicate and generalize from these patterns. Training builds upon existing base models, enhancing them with your specialized knowledge.

Training your first model

Getting started with model training is straightforward:

  1. Navigate to your dashboard
  2. Click 'Train Models' in the navigation or use this direct link TODO:Train models button
  3. Choose your trainer from the available options based on your needs
  4. Upload your training data TODO:Upload training data
  5. Configure your training parameters (if any)
  6. Start training

Your model will appear in your run models tab and will be accessible for use once training is complete.

We will notify you once training is complete.

Training methods

We offer several approaches to model training:

  • LoRA: Efficient training that maintains base model capabilities
  • Dreambooth: Fine-tune models on specific concepts

Each method has different resource requirements and training costs. Our platform guides you to the best choice for your needs but provides access to all methods available.

Best Practices

Model training is a critical process that directly impacts your model's performance. Here are key practices to ensure success:

Data Quality

Your training results will only be as good as the data you train with. Focus on:

  • Clean and well-formatted data
  • Representative of your use case
  • Sufficient in quantity for your chosen method

After Training

Once training is complete:

  • The credits used for training cannot be refunded. This is because the credits are used to train the model and the resources used have already been consumed.
  • If results aren't satisfactory, you'll need to retrain with adjusted parameters or improved data
  • You can always retrain models with refined data or parameters

Cost Management

  • Make slow, incremental changes to your training data and parameters
  • Monitor credit usage during training
  • Reach out to our support team if you're experiencing high costs

TODO: Training interface showing data upload and parameters

Need Help?

Training models can be complex, and our team is here to help. Whether you need guidance on data preparation, training method selection, or technical support, we're ready to assist.

Contact our support team at support@genbeacon.com or join our community forum to connect with other users and share experiences.

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