Case Study: Anthropic builds safer, more advanced Claude with Surge AI's RLHF platform

How Anthropic uses Surge AI’s RLHF platform to train their LLM Assistant on Human Feedback

Anthropic, a leading AI company building large language models, faced the challenge of gathering the high-quality, scalable human feedback necessary to train its AI assistant, Claude. Existing data labeling platforms lacked the required expertise and quality control, making it difficult to build a trustworthy and effective Reinforcement Learning from Human Feedback (RLHF) pipeline. To overcome this, Anthropic turned to the RLHF platform from vendor Surge AI.

By leveraging Surge AI's platform, Anthropic gained access to proprietary quality control technology and a global team of domain expert labelers. This partnership provided the sophisticated human feedback needed to teach and red team their models. The solution from Surge AI was a game changer, enabling Anthropic to build Claude into one of the safest and most advanced large language models on the planet.

Anthropic

Jared Kaplan

Co-Founder