DSPy on ICL RAG Classification: Code explained

Infer–Retrieve–Rank, a new program for extreme multi-label classification, based on DSPy. Infer–Retrieve–Rank achieves state-of-the-art results on three benchmarks using one frozen retriever combine with two in-context learning modules.

These ICL-RAG examples show that the future of prompt and pipeline engineering. Modular DSPy programs, once optimized, can serve as highly effective general-purpose solutions.

Arxiv preprint (all rights with authors):
In-Context Learning for Extreme Multi-Label Classification
https://arxiv.org/pdf/2401.12178.pdf

Github repo:
https://github.com/KarelDO/xmc.dspy

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art arxiv benchmarks classification code context dspy engineering examples explained future general in-context learning modular modules pipeline prompt rag serve show solutions state