Key Features

User-Friendly Interface

• Fully GUI-based; eliminates the need for CLI or API interactions.

• Simple workflows for non-technical users.

Secure Dataset Management

• Permission-based dataset access ensures data security.

• Seamless integration with OpenLedger’s dataset repository.

Comprehensive Model Support

• Compatible with a broad range of LLMs.

• Optimized for various fine-tuning techniques (LoRA, QLoRA, full fine-tuning).

Live Training Analytics

• Interactive dashboards for monitoring training metrics.

Chat Interface for Fine-Tuned Models

• Direct interaction with models for testing or deployment scenarios.

• Real-time response capabilities for various tasks.

RAG Attribution for Source Transparency

• Combines retrieval-based methods with generated outputs.

• Displays sources for user queries to ensure transparency and accountability.

Scalable & Modular Architecture

• Extensible modules for dataset access, training, and evaluation.