{"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\/da\/2024\/04\/claude-3-opus-blows-all-llms-away-in-book-length-summarization\/","title":{"rendered":"Claude 3 Opus bl\u00e6ser alle LLM'er omkuld i boglange resum\u00e9er"},"content":{"rendered":"

Forskere har offentliggjort en unders\u00f8gelse, der sammenligner n\u00f8jagtigheden og kvaliteten af de resum\u00e9er, som LLM'er producerer. Claude 3 Opus klarede sig s\u00e6rligt godt, men mennesker har stadig en fordel.<\/strong><\/p>\n

AI-modeller er ekstremt nyttige til at opsummere lange dokumenter, n\u00e5r du ikke har tid eller lyst til at l\u00e6se dem.<\/p>\n

Luksusen med voksende kontekstvinduer betyder, at vi kan bede modellerne om l\u00e6ngere dokumenter, hvilket udfordrer deres evne til altid at f\u00e5 styr p\u00e5 fakta i resum\u00e9et.<\/p>\n

Forskerne fra University of Massachusetts Amherst, Adobe, Allen Institute for AI og Princeton University, offentliggjorde en unders\u00f8gelse<\/a> der fors\u00f8gte at finde ud af, hvor gode AI-modeller er til at opsummere indhold i bogl\u00e6ngde (>100k tokens).<\/p>\n

FABLER<\/h2>\n

De udvalgte 26 b\u00f8ger, der blev udgivet i 2023 og 2024, og fik forskellige LLM'er til at opsummere teksterne. De seneste udgivelsesdatoer blev valgt for at undg\u00e5 potentiel dataforurening i modellernes oprindelige tr\u00e6ningsdata.<\/p>\n

N\u00e5r modellerne havde produceret resum\u00e9erne, brugte de GPT-4 til at udtr\u00e6kke dekontekstualiserede p\u00e5stande fra dem. Forskerne hyrede derefter menneskelige kommentatorer, som havde l\u00e6st b\u00f8gerne, og bad dem om at faktatjekke p\u00e5standene.<\/p>\n

\"\"
LLM opsummerer bogen, GPT-4 uddrager p\u00e5standene, og menneskelige kommentatorer verificerer p\u00e5standene. Kilde: arXiv<\/figcaption><\/figure>\n

De resulterende data blev samlet i et datas\u00e6t kaldet \"Faithfulness Annotations for Book-Length Summarization\" (FABLES). FABLES indeholder 3.158 annoteringer af trofasthed p\u00e5 p\u00e5standsniveau p\u00e5 tv\u00e6rs af 26 fort\u00e6llende tekster.<\/p>\n

Testresultaterne viste, at Claude 3 Opus var \"det mest trov\u00e6rdige boglange resum\u00e9 med en betydelig margin\", hvor over 90% af dens p\u00e5stande blev verificeret som trov\u00e6rdige eller n\u00f8jagtige.<\/p>\n

GPT-4 kom p\u00e5 en fjern andenplads med kun 78% af sine p\u00e5stande verificeret som trov\u00e6rdige af de menneskelige kommentatorer.<\/p>\n

\"\"
Procentdel af p\u00e5stande fra LLM-genererede resum\u00e9er vurderet af mennesker som trov\u00e6rdige, utrov\u00e6rdige, delvis st\u00f8tte eller kan ikke verificeres. Kilde: arXiv<\/figcaption><\/figure>\n

Den sv\u00e6re del<\/h2>\n

De modeller, der blev testet, s\u00e5 alle ud til at have problemer med de samme ting. St\u00f8rstedelen af de fakta, som modellerne tog fejl af, var relateret til begivenheder eller tilstande for karakterer og relationer.<\/p>\n

Artiklen bem\u00e6rkede, at \"de fleste af disse p\u00e5stande kun kan g\u00f8res ugyldige ved at r\u00e6sonnere over beviserne i flere led, hvilket understreger opgavens kompleksitet og dens forskel fra eksisterende indstillinger for faktaverificering.\"<\/p>\n

LLM'erne udelod ogs\u00e5 ofte kritisk information i deres resum\u00e9er. De l\u00e6gger ogs\u00e5 for stor v\u00e6gt p\u00e5 indhold i slutningen af b\u00f8gerne og overser vigtigt indhold i begyndelsen.<\/p>\n

Vil AI erstatte menneskelige kommentatorer?<\/h2>\n

Menneskelige kommentatorer eller faktatjekkere er dyre. Forskerne brugte $5.200 p\u00e5 at f\u00e5 de menneskelige kommentatorer til at verificere p\u00e5standene i AI-resum\u00e9erne.<\/p>\n

Kunne en AI-model have gjort arbejdet billigere? Enkelt genfinding af fakta<\/a> er noget, Claude 3 er god til, men dens pr\u00e6station ved verificering af p\u00e5stande, der kr\u00e6ver en dybere forst\u00e5else af indholdet, er mindre konsekvent.<\/p>\n

N\u00e5r de blev pr\u00e6senteret for de ekstraherede p\u00e5stande og bedt om at verificere dem, kom alle AI-modellerne til kort over for menneskelige kommentatorer. De klarede sig is\u00e6r d\u00e5rligt i forhold til at identificere utrov\u00e6rdige p\u00e5stande.<\/p>\n

Selvom Claude 3 Opus var den bedste til at verificere krav med en vis afstand, konkluderede forskerne, at den \"i sidste ende fungerer for d\u00e5rligt til at v\u00e6re en p\u00e5lidelig automatisk bed\u00f8mmer\".<\/p>\n

N\u00e5r det handler om at forst\u00e5 nuancer, komplekse menneskelige relationer, plotpunkter og karaktermotivationer i en lang fort\u00e6lling, ser det ud til, at mennesker stadig har en fordel indtil videre.<\/p>","protected":false},"excerpt":{"rendered":"

Forskere har offentliggjort en unders\u00f8gelse, der sammenligner n\u00f8jagtigheden og kvaliteten af de resum\u00e9er, som LLM'er producerer. Claude 3 Opus klarede sig s\u00e6rligt godt, men mennesker har stadig en fordel. AI-modeller er ekstremt nyttige til at opsummere lange dokumenter, n\u00e5r man ikke har tid eller lyst til at l\u00e6se dem. Luksussen med voksende kontekstvinduer betyder, at vi kan bede modellerne om at l\u00e6se l\u00e6ngere dokumenter, hvilket udfordrer deres evne til altid at f\u00e5 fakta med i resum\u00e9et. Forskerne fra University of Massachusetts Amherst, Adobe, Allen Institute for AI og Princeton University offentliggjorde en unders\u00f8gelse, der fors\u00f8gte at finde ud af, hvordan<\/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\/da\/2024\/04\/claude-3-opus-blows-all-llms-away-in-book-length-summarization\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\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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