Overview
Whether you are looking to classify text, answer questions, or solve other language tasks, our step-by-step workflow will take you from initial concept to production-ready model with remarkable ease. Let’s dive in and transform how you build AI-powered features!
1. Task Selection
Begin by identifying the specific task you want your model to perform. Different tasks require different approaches to data preparation and model configuration.
Learn more about task selection →
2. Input Preparation
Prepare your data and configuration files according to your chosen task type.
Feel free to jump straight into specific guidelines for:
- Classification data preparation →
- Question-answering data preparation →
- Creating the configuration file →
3. Teacher Evaluation
Before training your specialized small model, validate whether a large language model can accurately solve your task with the provided examples.
Learn about teacher evaluation →
4. Model Training
Once your teacher evaluation shows promising results, train your specialized small language model using knowledge distillation.
Understand the model training process →
5. Model Deployment
Deploy your trained model in your infrastructure or use our hosting options for immediate integration with your applications.