Data Development for Improving GenAI Systems - A Systems-Level Approach

Data Development for Improving GenAI Systems - A Systems-Level Approach

Explore a comprehensive 18-minute talk by Chris Glaze, staff research scientist at Snorkel AI, on the critical role of data development in generative AI systems. Gain insights into the importance of adopting a systems-level perspective when building GenAI applications. Learn from a real-world case study where Snorkel AI's team significantly improved a global bank's retrieval augmented generation (RAG) system accuracy by 54 points in just three weeks. Discover how scalable data development tools can enhance various components of GenAI systems, including embedding and retrieval models. Access accompanying slides and additional resources to deepen your understanding of data development's impact on every aspect of generative AI applications.