SimplyRetrieve: A Private and Lightweight Retrieval-Centric Generative AI Tool
Ng, Youyang, Miyashita, Daisuke, Hoshi, Yasuto, Morioka, Yasuhiro, Torii, Osamu, Kodama, Tomoya, Deguchi, Jun
–arXiv.org Artificial Intelligence
Large Language Model (LLM) based Generative AI systems have seen significant progress in recent years. Integrating a knowledge retrieval architecture allows for seamless integration of private data into publicly available Generative AI systems using pre-trained LLM without requiring additional model fine-tuning. Moreover, Retrieval-Centric Generation (RCG) approach, a promising future research direction that explicitly separates roles of LLMs and retrievers in context interpretation and knowledge memorization, potentially leads to more Figure 1: Retrieval-Centric Generation (RCG) approach efficient implementation. SimplyRetrieve is an presents an innovative concept that leverages the mutually open-source tool with the goal of providing beneficial interaction between LLMs and retrievers a localized, lightweight, and user-friendly interface for more efficient context interpretation and knowledge to these sophisticated advancements to memorization. Increased clarity in role-separation between the machine learning community. SimplyRetrieve context interpretation and knowledge memorization features a GUI and API based RCG platform, can potentially boost the performance of generative assisted by a Private Knowledge Base AI systems.
arXiv.org Artificial Intelligence
Aug-7-2023
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