Efforts are underway to develop trustworthy evaluations of large language models (LLMs). Various approaches are being explored, including the use of rubrics, frameworks, and systematic prompt engineering to assess LLM reliability and performance. The development of these evaluation methods is being discussed across multiple platforms and industries, including medicine and artificial intelligence.