most citedEfficient LLMs with AMP: Attention Heads and MLP Pruning

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cs.CL2026

Evaluation of LLMs in retrieving food and nutritional context for RAG systems

Maks Požarnik Vavken, Matevž Ogrinc, Tome Eftimov +1

In this article, we evaluate four Large Language Models (LLMs) and their effectiveness at retrieving data within a specialized Retrieval-Augmented Generation (RAG) system, using a…