Explore a software tool designed to identify errors in large language model outputs through an 11-minute video tutorial. Learn about LangDiversity, an implementation of domain-independent "diversity measures" used to assess uncertainty in language model results. Discover the concept of diversity measures, their utility implementation, and see code examples. Delve into prompt selection techniques, including few-shot use cases, and their implementation. Access the LangDiversity package via pip, explore its GitHub repository, and read the associated research paper. Gain insights into addressing challenges like hallucination in language models and enhancing output reliability.