Denys Linkov's QCon San Francisco 2024 talk dissected the complexities of evaluating large language models (LLMs). He advocated for nuanced micro-metrics, robust observability, and alignment with business objectives to enhance model performance. Linkov’s insights highlight the need for multidimensional evaluation and actionable metrics that drive meaningful decisions.
By Andrew Hoblitzell