The text discusses the phenomenon of "hallucination" in Large Language Models (LLMs), where the model generates incorrect or nonsensical text. This occurs because LLMs are not databases or search engines and do not provide citations for their responses, which are generated through extrapolation from the input prompt. A workshop is announced to showcase metrics for evaluating data quality and output hallucinations, with a focus on RAG (Reinforcement Alignment of Generative) and fine-tuning use cases. The workshop is inspired by DeepLearning.AI's GenAI short courses and aims to provide an efficient way to learn new skills and tools within 1 hour. Galileo, the company behind the workshop, is building an algorithm-powered LLM Ops Platform for enterprises, which provides a collaborative platform for improving data quality across model workflows. The speakers of the workshop are Vikram Chatterji and Atindriyo Sanyal, co-founders and executives at Galileo, who have experience in product management and engineering leadership at Google AI and Uber AI, respectively.