In this installment, Hailey Joren, a Ph.D. student at UCSD, shares her groundbreaking insights on retrieval augmented generation systems. She sheds light on the crucial difference between relevant search results and 'sufficient context' for accurate answers. With her team's innovative autorater, they tackle the future of AI, addressing how current models struggle with hallucinations. Expect discussions on fine-tuning methodologies, the role of context in AI responses, and the exciting prospects of enhancing model reliability and interpretability.
