DSPy for In-Context Learning and RAG Classification - Code Explained

Learn about Infer-Retrieve-Rank, a cutting-edge program for extreme multi-label classification implemented using DSPy, through this detailed technical video. Explore how this innovative approach combines a frozen retriever with two in-context learning modules to achieve state-of-the-art results across three benchmarks. Dive into practical code examples demonstrating how modular DSPy programs can be optimized to create effective general-purpose solutions for prompt and pipeline engineering. Gain insights from the associated research paper and access the implementation through the provided GitHub repository, understanding the future implications of this technology for AI development and classification tasks.