{"id":11410,"date":"2024-04-08T10:48:47","date_gmt":"2024-04-08T10:48:47","guid":{"rendered":"https:\/\/dailyai.com\/?p=11410"},"modified":"2024-04-08T10:48:47","modified_gmt":"2024-04-08T10:48:47","slug":"claude-3-opus-blows-all-llms-away-in-book-length-summarization","status":"publish","type":"post","link":"https:\/\/dailyai.com\/sv\/2024\/04\/claude-3-opus-blows-all-llms-away-in-book-length-summarization\/","title":{"rendered":"Claude 3 Opus bl\u00e5ser alla LLM:are av stolen med en bokl\u00e5ng sammanfattning"},"content":{"rendered":"

Forskare publicerade en studie som j\u00e4mf\u00f6rde noggrannheten och kvaliteten p\u00e5 de sammanfattningar som LLM:er producerar. Claude 3 Opus presterade s\u00e4rskilt bra, men m\u00e4nniskor har fortfarande \u00f6vertaget.<\/strong><\/p>\n

AI-modeller \u00e4r extremt anv\u00e4ndbara f\u00f6r att sammanfatta l\u00e5nga dokument n\u00e4r du inte har tid eller lust att l\u00e4sa dem.<\/p>\n

Lyxen med v\u00e4xande kontextf\u00f6nster inneb\u00e4r att vi f\u00e5r uppmana modeller med l\u00e4ngre dokument, vilket utmanar deras f\u00f6rm\u00e5ga att alltid f\u00e5 fram fakta i sammanfattningen.<\/p>\n

Forskarna kommer fr\u00e5n University of Massachusetts Amherst, Adobe, Allen Institute for AI och Princeton University, publicerade en studie<\/a> som syftade till att ta reda p\u00e5 hur bra AI-modeller \u00e4r p\u00e5 att sammanfatta bokl\u00e5ngt inneh\u00e5ll (>100k tokens).<\/p>\n

FABLER<\/h2>\n

De valde 26 b\u00f6cker som publicerades 2023 och 2024 och l\u00e4t olika LLM:er sammanfatta texterna. De senaste publiceringsdatumen valdes f\u00f6r att undvika potentiell datakontaminering i modellernas ursprungliga tr\u00e4ningsdata.<\/p>\n

N\u00e4r modellerna producerade sammanfattningarna anv\u00e4nde de GPT-4 f\u00f6r att extrahera dekontextualiserade p\u00e5st\u00e5enden fr\u00e5n dem. Forskarna anst\u00e4llde sedan m\u00e4nskliga annotatorer som hade l\u00e4st b\u00f6ckerna och bad dem att faktakontrollera p\u00e5st\u00e5endena.<\/p>\n

\"\"
LLM sammanfattar boken, GPT-4 extraherar p\u00e5st\u00e5endena och m\u00e4nskliga kommentatorer verifierar p\u00e5st\u00e5endena. K\u00e4lla: arXiv<\/figcaption><\/figure>\n

De resulterande uppgifterna sammanst\u00e4lldes i ett dataset som kallas \"Faithfulness Annotations for Book-Length Summarization\" (FABLES). FABLES inneh\u00e5ller 3.158 anteckningar om trofasthet p\u00e5 p\u00e5st\u00e5endeniv\u00e5 i 26 ber\u00e4ttande texter.<\/p>\n

Testresultaten visade att Claude 3 Opus var \"den mest trogna sammanfattningen av en bokl\u00e4ngd med en betydande marginal\", med \u00f6ver 90% av dess p\u00e5st\u00e5enden verifierade som trogna eller korrekta.<\/p>\n

GPT-4 kom p\u00e5 en avl\u00e4gsen andraplats med endast 78% av sina p\u00e5st\u00e5enden verifierade som trogna av de m\u00e4nskliga annotat\u00f6rerna.<\/p>\n

\"\"
Procentandel av p\u00e5st\u00e5enden som extraherats fr\u00e5n LLM-genererade sammanfattningar som bed\u00f6mts av m\u00e4nniskor som trogna, otrogna, delvis st\u00f6d eller kan inte verifieras. K\u00e4lla: arXiv<\/figcaption><\/figure>\n

Den sv\u00e5ra delen<\/h2>\n

De modeller som testades verkade alla k\u00e4mpa med samma saker. Majoriteten av de fakta som modellerna fick fel relaterade till h\u00e4ndelser eller tillst\u00e5nd hos karakt\u00e4rer och relationer.<\/p>\n

I rapporten konstateras att \"de flesta av dessa p\u00e5st\u00e5enden endast kan ogiltigf\u00f6rklaras genom att man resonerar kring bevisen i flera steg, vilket visar hur komplex uppgiften \u00e4r och hur den skiljer sig fr\u00e5n befintliga inst\u00e4llningar f\u00f6r faktaverifiering\".<\/p>\n

LLM:erna utel\u00e4mnade ocks\u00e5 ofta kritisk information i sina sammanfattningar. De l\u00e4gger ocks\u00e5 f\u00f6r stor vikt vid inneh\u00e5ll i slutet av b\u00f6ckerna och missar viktigt inneh\u00e5ll i b\u00f6rjan.<\/p>\n

Kommer AI att ers\u00e4tta m\u00e4nskliga kommentatorer?<\/h2>\n

M\u00e4nskliga kommentatorer eller faktakontrollanter \u00e4r dyra. Forskarna spenderade $5.200 f\u00f6r att f\u00e5 de m\u00e4nskliga kommentatorerna att verifiera p\u00e5st\u00e5endena i AI-sammanfattningarna.<\/p>\n

Hade en AI-modell kunnat g\u00f6ra jobbet billigare? Enkelt faktainh\u00e4mtning<\/a> \u00e4r n\u00e5got som Claude 3 \u00e4r bra p\u00e5, men dess prestanda n\u00e4r det g\u00e4ller att verifiera p\u00e5st\u00e5enden som kr\u00e4ver en djupare f\u00f6rst\u00e5else av inneh\u00e5llet \u00e4r mindre konsekvent.<\/p>\n

N\u00e4r AI-modellerna presenterades med de extraherade p\u00e5st\u00e5endena och uppmanades att verifiera dem, klarade de sig s\u00e4mre \u00e4n de m\u00e4nskliga kommentatorerna. De presterade s\u00e4rskilt d\u00e5ligt n\u00e4r det g\u00e4llde att identifiera falska p\u00e5st\u00e5enden.<\/p>\n

\u00c4ven om Claude 3 Opus var den b\u00e4sta verifieraren av anspr\u00e5k med god marginal, drog forskarna slutsatsen att den \"i slut\u00e4ndan presterar f\u00f6r d\u00e5ligt f\u00f6r att vara en tillf\u00f6rlitlig automatisk bed\u00f6mare\".<\/p>\n

N\u00e4r det g\u00e4ller att f\u00f6rst\u00e5 nyanserna, de komplexa m\u00e4nskliga relationerna, intrigerna och karakt\u00e4rernas motiv i en l\u00e5ng ber\u00e4ttelse verkar det som om m\u00e4nniskorna fortfarande har ett f\u00f6rspr\u00e5ng.<\/p>","protected":false},"excerpt":{"rendered":"

Forskare publicerade en studie som j\u00e4mf\u00f6rde noggrannheten och kvaliteten p\u00e5 de sammanfattningar som LLM:er producerar. Claude 3 Opus presterade s\u00e4rskilt bra, men m\u00e4nniskor har fortfarande \u00f6vertaget. AI-modeller \u00e4r extremt anv\u00e4ndbara f\u00f6r att sammanfatta l\u00e5nga dokument n\u00e4r du inte har tid eller lust att l\u00e4sa dem. Lyxen med v\u00e4xande kontextf\u00f6nster inneb\u00e4r att vi f\u00e5r uppmana modeller med l\u00e4ngre dokument, vilket utmanar deras f\u00f6rm\u00e5ga att alltid f\u00e5 fakta rakt i sammanfattningen. Forskarna fr\u00e5n University of Massachusetts Amherst, Adobe, Allen Institute for AI och Princeton University publicerade en studie som f\u00f6rs\u00f6kte ta reda p\u00e5 hur<\/p>","protected":false},"author":6,"featured_media":11415,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[118],"class_list":["post-11410","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-llms"],"yoast_head":"\nClaude 3 Opus blows all LLMs away in book-length summarization | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/sv\/2024\/04\/claude-3-opus-blows-all-llms-away-in-book-length-summarization\/\" \/>\n<meta property=\"og:locale\" content=\"sv_SE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Claude 3 Opus blows all LLMs away in book-length summarization | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers published a study comparing the accuracy and quality of summaries that LLMs produce. Claude 3 Opus performed particularly well but humans still have the edge. AI models are extremely useful for summarizing long documents when you don\u2019t have the time or inclination to read them. The luxury of growing context windows means we get to prompt models with longer documents, which challenges their ability to always get the facts straight in the summary. 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