Large language models (LLMs) are great with words, but they cannot understand context or nuance. A European AI company was trying to solve this problem and needed to train its model to generate responses that are both accurate and aligned with human values.
Reinforcement Learning from Human Feedback (RLHF) makes this possible. However, the lack of solid standards and guidelines led to inconsistent response reviews. TaskUs stepped in to redesign the entire process, including:
- Building a diverse, global team to eliminate bias
- Creating clear, shared guidelines for review consistency
- Setting up audit and feedback loops to prevent errors
