Jeremy Howard • 9/16/2024

rerankers: A Lightweight Python Library to Unify Ranking Methods

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The article presents rerankers, a low-dependency Python library designed to simplify the use of re-ranking models in two-stage information retrieval pipelines. It explains the popularity of such pipelines, discusses common re-ranking methods, and details the library's design philosophy for offering a unified interface to easily swap between different models and integrate new ones.

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#Python #Neural Networks #Information Retrieval
rerankers: A Lightweight Python Library to Unify Ranking Methods

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