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.