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Explore the evolution and future of DSPy, an open-source framework for programming language models, in this 41-minute conference talk from Databricks. Learn about the significant advancements in DSPy 3.0, scheduled for release around DAIS 2025, including enhanced prompt optimization capabilities, improved fine-tuning and reinforcement learning features, and better productionization through native MLflow integration. Discover how DSPy has been applied across various Databricks research and development projects as well as professional services contexts. Gain insights into the framework's development over the past year and understand how these improvements enable more effective observability and deployment of language model applications. The presentation is delivered by Krista Opsahl-Ong, Research Engineer at Databricks, and Omar Khattab, Research Scientist at Databricks, who share practical lessons learned from real-world DSPy implementations.
