Dataset schemas for fast and iterative data curation in LangSmith

In the field of generative AI, large language models (LLMs) have become a popular tool for quickly developing prototypes and integrating them into applications. However, data collection and validation remain crucial steps in building effective LLM apps. LangSmith, an AI platform, offers features to manage datasets for LLM applications, including the ability to define dataset schemas that ensure consistency and flexibility as new examples are added. This streamlined process allows developers to iterate quickly and improve their LLM app performance over time.