Case Study: Leading U.S.-Based AI Research and Safety Company achieves 200% LLM accuracy uplift with Turing

Enhancing LLM Precision by 200% with 5,000+ RLHF Loops

Leading U.S.-Based AI Research and Safety Company partnered with Turing to improve the precision and reliability of its foundational LLM. The customer needed to reduce hallucinations while expanding the model’s ability to handle complex data analysis tasks, using Turing’s AGI Advancement capabilities.

Turing implemented a two-phase approach: first building 115+ high-quality evaluation datasets, then conducting 5,000+ RLHF interactions to compare model outputs against golden answers and provide targeted feedback. The effort led to a 200% uplift in LLM accuracy, significant hallucination reduction, and stronger data analysis performance.