๐Ÿ“ฐ RAGใฎๆœ€้ฉๅŒ–ๆ‰‹ๆณ•ใŒๅคšใ™ใŽใฆ่ฟทๅญใซใชใฃใŸใฎใงใ€ๆ•ด็†ใ—ใŸใ‚‰ๅ…จไฝ“ๅƒใŒ่ฆ‹ใˆใŸ (๐Ÿ‘ 19)๐Ÿ‡ฌ๐Ÿ‡ง A map of the RAG optimization landscape, organizing techniques like multi...

๐Ÿ“ฐ RAGใฎๆœ€้ฉๅŒ–ๆ‰‹ๆณ•ใŒๅคšใ™ใŽใฆ่ฟทๅญใซใชใฃใŸใฎใงใ€ๆ•ด็†ใ—ใŸใ‚‰ๅ…จไฝ“ๅƒใŒ่ฆ‹ใˆใŸ (๐Ÿ‘ 19)๐Ÿ‡ฌ๐Ÿ‡ง A map of the RAG optimization landscape, organizing techniques like multi-query, fusion, decomposition, and reranking into a clearer overall picture.๐Ÿ‡ฐ๐Ÿ‡ท ๋ฉ€ํ‹ฐ ์ฟผ๋ฆฌ, ํ“จ์ „, ๋ถ„ํ•ด, ๋ฆฌ๋žญํ‚น ๊ฐ™์€ ๊ธฐ๋ฒ•์„ ์ •๋ฆฌํ•ด RAG ์ตœ์ ํ™” ์ „๋ฐ˜์˜ ์ง€๋„๋ฅผ ๋ณด์—ฌ์ฃผ๋Š” ๊ธ€์ž…๋‹ˆ๋‹ค.๐Ÿ”— https://zenn.dev/nagi98/articles/260405-rag-optimization-overview#RAG #LLM #Zenn

Read Original

Related