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Retrieved on: 2024-10-27 16:04:38
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Summary
The article explores an iterative framework for enhancing the novelty and diversity of large language model outputs by optimizing retrieval-augmented generation. This aligns with the key concept and tags, emphasizing innovation in AI-driven scientific discovery and knowledge retrieval.
Article found on: www.marktechpost.com
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