most citedCan Smaller LLMs do better? Unlocking Cross-Domain Potential through Parameter-Efficient Fine-Tuning for Text Summarization

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cs.AI2024

Towards Optimizing a Retrieval Augmented Generation using Large Language Model on Academic Data

Anum Afzal, Juraj Vladika, Gentrit Fazlija +2

Given the growing trend of many organizations integrating Retrieval Augmented Generation (RAG) into their operations, we assess RAG on domain-specific data and test state-of-the-ar…