Building datasets for LLM product evaluations

When developing LLM products, companies often initially rely on intuition for decision-making but eventually need to build evaluations to ensure product reliability. A common mistake is the pursuit of a "golden" dataset, which can delay development and fail to adapt to changing product specifications. Instead, it's more effective to start with a small dataset, iterate continuously, and involve stakeholders in the process. By connecting datasets to real or realistic data sources, companies can achieve more accurate and up-to-date results, despite the risk of tests failing due to changes in underlying data. The future of dataset tooling aims to address current challenges by integrating datasets more closely with application code and providing LLM-based assistance for large-scale edits, making continuous development more manageable. Gentrace is at the forefront of developing next-generation dataset tools with features like software-defined columns and LLM assistance, inviting interested individuals to join their team.