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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