RLHF

High-fidelity human feedback to ensure model safety and accuracy

OORT RLHF (Reinforcement Learning from Human Feedback) provides high-fidelity human feedback to ensure AI model safety, accuracy, and alignment. By leveraging a global decentralized network, OORT helps enterprises transform raw data into high-quality, AI-ready datasets.

OORT’s RLHF service is a critical component of the OORT DataHub, designed to bridge the gap between machine outputs and human expectations. It utilizes a "Human-in-the-Loop" (HITL) approach to fine-tune Large Language Models (LLMs) and Multimodal AI systems.

Introduction to RLHF

High-Precision Alignment

Fine-tune models to ensure they behave safely and follow complex instructions.

Global Contributor Network

Access over 350,000+ active members across 136 countries for diverse, region-specific feedback.

On-Chain Transparency

Every feedback task is verified and recorded on the Olympus Protocol (OORT’s Layer-1 blockchain) for full traceability.

Decentralized Security

Data is stored using OORT’s decentralized storage, offering up to 80% cost savings compared to traditional hyperscalers while ensuring maximum privacy.