Reinforcement Learning from Human Feedback (RLHF)
Align your Large Language Models (LLMs) with high-quality preference data generated by verified domain experts.
How RLHF Works in Radiif
Prompt Upload
Upload prompts to evaluate model outputs. Specify the guidelines and target criteria (safety, correctness, helpfulness).
Expert Comparison
Our network of verified legal, technical, and medical professionals ranks multiple model completions and annotates details.
Reward Model Dataset
Download structured JSONL preference data ready for direct training of your reward models (RM) and DPO loops.
RLHF Use Cases
Dialect & Language Tuning
Arabic Language Nuances: Tuning models for local dialects, legal terms, and cultural appropriateness.
Code Validation
Code Annotation: Verifying complex software code logic, security flaws, and performance optimizations.
Professional Domain Experts
Professional Expertise: Specialized feedback from certified doctors, lawyers, and financial analysts.