Join DSPy: Build and Optimize Agentic Apps , built in partnership with Databricks and taught by Chen Qian , a software engineer at Databricks and co-lead maintainer of the DSPy framework.
Agentic AI applications tackle complex tasks such as document automation, question-answering, and multi-step decision-making. However, building these applications can become complex and one challenge is writing and maintaining good prompts. DSPy is a flexible open-source framework that simplifies your application’s interaction with LLMs. It streamlines your workflow by utilizing modular blocks in which you can provide a dataset of inputs and desired output, and systematically build, trace, and optimize your application.