# Core Concepts ### **How ModelFactory Works** ModelFactory integrates dataset access control and model fine-tuning into a seamless workflow, ensuring data security and ownership integrity. The platform’s primary processes include:

### **Model Selection & Configuration** * Users select from a wide range of LLMs (e.g., LLaMA, Mistral, DeepSeek). * Hyperparameters like learning rate, batch size, and epochs are configured through the GUI.

### **Fine-Tuning Process** * The fine-tuning engine supports methods such as LoRA and QLoRA. * Real-time dashboards provide training progress insights.

### **Chat Interface** * Enables users to interact with fine-tuned models directly through the GUI or through API. * Supports real-time question-and-answer sessions or task-specific interactions.