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Process / pipeline

Uzalishaji Ulioimarishwa kwa Urejeshaji (RAG)

Uzalishaji Ulioimarishwa kwa Urejeshaji (RAG) ni mfumo wa usindikaji wa lugha asilia ulioanzishwa na Lewis et al. mwaka 2020 ambao huimarisha lugha kubwa (LLM) kwa ushahidi unaopatikana wakati wa uamuzi kutoka kwenye hifadhidata ya nje. Badala ya kutegemea tu kile ambacho modeli ilikumbuka wakati wa mafunzo, RAG kwanza hurejesha vifungu muhimu zaidi kutoka kwenye faharisi ya hati na kisha huvipeleka vifungu hivyo kwa LLM kama muktadha, na hivyo kuweka jibu lililotolewa katika taarifa inayoweza kuthibitishwa na iliyosasishwa. Mbinu hii hupunguza udanganyifu na inaruhusu ujuzi mahususi wa kikoa au unaohusiana na wakati kuingizwa bila kufundisha upya modeli.

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Vyanzo

  1. Lewis, P. et al. (2020). Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. Advances in Neural Information Processing Systems (NeurIPS), 33, 9459-9474. DOI: 10.48550/arXiv.2005.11401
  2. Gao, Y. et al. (2023). Retrieval-Augmented Generation for Large Language Models: A Survey. arXiv preprint. DOI: 10.48550/arXiv.2312.10997

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 1). Retrieval-Augmented Generation (RAG). ScholarGate. https://scholargate.app/sw/text-mining/retrieval-augmented-generation

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Imerejelewa na

ScholarGateRetrieval-Augmented Generation (Retrieval-Augmented Generation (RAG)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/text-mining/retrieval-augmented-generation · Seti ya data: https://doi.org/10.5281/zenodo.20539026