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.

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