Subject Matter Expert RLHF
Standard crowdsourced feedback cannot evaluate whether a clinical diagnosis is sound, a legal argument is correct, or a financial model is valid. RLHF AI at frontier quality requires contributors who have the domain expertise to distinguish genuinely better responses from merely more confident ones.
Appen provides verified subject matter experts across medicine, law, science, finance, and engineering for the preference ranking, comparative evaluation, and nuanced feedback collection that trains the reward models powering your most capable systems.
What Appen Delivers
Verified Domain Expert Contributors
Preference Ranking and Comparative Feedback
Multi-Turn Conversation Evaluation
Why Subject Matter Experts
As frontier models approach and exceed average human performance on general benchmarks, the remaining quality ceiling is set by expert performance. Fine-tuning LLMs on domain expert feedback is what separates general models from trusted professional tools.
Appen has delivered expert RLHF programmes for leading AI companies including Cohere's preference-based fine-tuning for enterprise LLMs. Our expert contributor network spans 50 specialist domains and is continuously recruited to match the evolving requirements of frontier model development.
Related Resources
How Cohere Scaled Preference-Based Fine-Tuning for Enterprise LLMs
Discover how Cohere partnered with Appen to scale high-quality supervised fine tuning and LLM evaluation with real-time annotation.
Unlocking the Power of Human Feedback: Benefits of RLHF
Reinforcement learning with human feedback is a cutting-edge technique that has been gaining popularity in recent years
The 5 Steps of Reinforcement Learning with Human Feedback
How RLHF Works: Reinforcement learning is revolutionizing the way we approach complex problems in the world of technology and business.
Ready to train AI LLMs with confidence?
Talk to our team about frontier model alignment data, from supervised fine-tuning demonstrations to adversarial red teaming at scale.