{"id":2188,"date":"2019-09-10T11:14:06","date_gmt":"2019-09-10T11:14:06","guid":{"rendered":"http:\/\/skimai.com\/?p=2188"},"modified":"2024-05-20T07:38:39","modified_gmt":"2024-05-20T12:38:39","slug":"les-20-faits-les-plus-marquants","status":"publish","type":"post","link":"https:\/\/skimai.com\/fr\/top-20-facts\/","title":{"rendered":"Recherche des faits les plus marquants sur 20%"},"content":{"rendered":"

Recherche des faits les plus marquants sur 20%<\/h1>\n
    Nous savons tous qu'il existe sur l'internet une quantit\u00e9 infinie de donn\u00e9es sur pratiquement tous les sujets. Vous ne me croyez pas ? Testons-le. Il a fallu 0,46 seconde \u00e0 Google pour me donner 460 MILLIONS<\/b> r\u00e9sultats pour \"multi-label text classification\". Vous voyez ce que je veux dire. Lorsque nous avons con\u00e7u l'algorithme qui permet \u00e0 Skim AI de traiter des tonnes d'informations pour en extraire des faits et d'autres points de donn\u00e9es importants d'un simple clic, nous avons suivi trois lignes directrices pour nous assurer que nous ne capturions que les 20% faits les plus importants :<\/p>
  1. Recherchez le contexte. <\/b>Les faits qui incluent le contexte sont les plus solides et fournissent le plus d'informations. C'est pourquoi notre algorithme accorde une plus grande importance aux donn\u00e9es qui incluent un contexte sous la forme de points de donn\u00e9es num\u00e9riques, d'un locuteur et\/ou d'un auteur, de dates, etc.<\/li>
  2. \u00c9liminer le bruit. <\/b>L'objectif de Skim AI est d'aider les chercheurs \u00e0 trouver plus rapidement ce dont ils ont besoin, ce qui signifie qu'il faut se d\u00e9barrasser du superflu. Approximations sans support num\u00e9rique, \u00e0 l'emporte-pi\u00e8ce journalisme<\/del> les citations et les opinions sans contexte ni soutien ne doivent pas \u00eatre consid\u00e9r\u00e9es comme des \u00e9l\u00e9ments de valeur.<\/li>
  3. Donner la priorit\u00e9 aux signaux \u00e9lev\u00e9s et aux bruits faibles.<\/b> L'aspect automatis\u00e9 de Skim AI permet une recherche et un apprentissage hautement \u00e9volutifs. Cela signifie qu'en passant au crible des millions d'articles par seconde, l'outil est capable de trouver des signaux (\u00e9l\u00e9ments d'information r\u00e9currents et soutenus) parmi ces articles. L'outil est con\u00e7u pour identifier les \u00e9l\u00e9ments qui pr\u00e9sentent \u00e0 la fois un signal \u00e9lev\u00e9 et un faible niveau de bruit. Cela signifie que Skim AI vous donne les r\u00e9sultats les plus clairs et les plus pr\u00e9cis pour votre recherche.<\/li><\/ol>
    Essentiellement, ce que nous tirons de chaque journal, article ou reportage, c'est ce que nous appelons \"top 20% facts\".<\/b> Ces faits se situent dans le top 20% de la qualit\u00e9 (en termes de lignes directrices ci-dessus) parmi d'autres sur le sujet. En d'autres termes, il s'agit des faits les plus contextuels et les plus riches en donn\u00e9es, provenant de sources qui ne contiennent pas beaucoup de bruit. En d'autres termes autres<\/i> des mots, des \u00e9l\u00e9ments d'information fiables qui fournissent des indications pr\u00e9cieuses.<\/code><\/pre>\n
    L'algorithme Skim AI qui identifie les faits pour vous dans un PDF t\u00e9l\u00e9charg\u00e9 ou un article Reuters en ligne est \u00e9galement celui qui scanne l'internet pour vous fournir des r\u00e9sultats de recherche sur notre moteur de recherche de faits natif. Cela signifie qu'il n'y a pas de publicit\u00e9s payantes ou de trucs de r\u00e9f\u00e9rencement pour obtenir des r\u00e9sultats en haut de la page. Skim AI ne renvoie que des r\u00e9sultats qui respectent les trois lignes directrices ci-dessus ; il s'agit de sources \u00e0 haut signal et \u00e0 faible bruit.<\/p>\n
    Skim AI vous pr\u00e9sente uniquement les faits les plus marquants de 20% pour vous permettre d'obtenir plus rapidement les informations dont vous avez besoin. En savoir plus<\/a> sur la puissance de Skim AI et sur la mani\u00e8re dont vous pouvez l'utiliser pour trouver les principaux faits 20% que vous recherchez.<\/p>\n
                                                \"\u00e9tape                                                        \n    
    G\u00e9n\u00e9rer automatiquement des r\u00e9sum\u00e9s d'articles d'actualit\u00e9, de documents de recherche, de PDF et plus encore avec l'outil de r\u00e9sum\u00e9 de Skim AI.<\/p>     \n        \n                    Installer maintenant\n                <\/a><\/code><\/pre>","protected":false},"excerpt":{"rendered":"
    Searching for top 20% facts We all know that there\u2019s an infinite amount of data on the internet for essentially any topic. Don\u2019t believe me? Let\u2019s test it. It took Google 0.46 seconds to give me 460 MILLION results for \u201cmulti-label text classification.\u201d You get the point. So when we built the algorithm the enables […]<\/p>\n","protected":false},"author":1003,"featured_media":754,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"single-custom-post-template.php","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[67],"tags":[],"class_list":["post-2188","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ml-nlp"],"yoast_head":"\nSearching for top 20% facts - How Skim AI filters the noise<\/title>\n<meta name=\"description\" content=\"Skim AI extracts only top 20% facts, the snippets of information with the most contextual richness and validitiy so that you can find what you need, faster.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/skimai.com\/fr\/les-20-faits-les-plus-marquants\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Searching for top 20% facts - How Skim AI filters the noise\" \/>\n<meta property=\"og:description\" content=\"Skim AI extracts only top 20% facts, the snippets of information with the most contextual richness and validitiy so that you can find what you need, faster.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/skimai.com\/fr\/les-20-faits-les-plus-marquants\/\" \/>\n<meta property=\"og:site_name\" content=\"Skim AI\" \/>\n<meta property=\"article:published_time\" content=\"2019-09-10T11:14:06+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-05-20T12:38:39+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/skimai.com\/wp-content\/uploads\/2019\/02\/Blog-2-image.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1500\" \/>\n\t<meta property=\"og:image:height\" content=\"1000\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Greggory Elias\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Greggory Elias\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/skimai.com\/top-20-facts\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/skimai.com\/top-20-facts\/\"},\"author\":{\"name\":\"Greggory Elias\",\"@id\":\"https:\/\/skimai.com\/uk\/#\/schema\/person\/7a883b4a2d2ea22040f42a7975eb86c6\"},\"headline\":\"Searching for top 20% facts\",\"datePublished\":\"2019-09-10T11:14:06+00:00\",\"dateModified\":\"2024-05-20T12:38:39+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/skimai.com\/top-20-facts\/\"},\"wordCount\":118,\"publisher\":{\"@id\":\"https:\/\/skimai.com\/uk\/#organization\"},\"image\":{\"@id\":\"https:\/\/skimai.com\/top-20-facts\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/skimai.com\/wp-content\/uploads\/2019\/02\/Blog-2-image.jpg\",\"articleSection\":[\"LLMs \/ NLP\"],\"inLanguage\":\"fr-FR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/skimai.com\/top-20-facts\/\",\"url\":\"https:\/\/skimai.com\/top-20-facts\/\",\"name\":\"Searching for top 20% facts - How Skim AI filters the noise\",\"isPartOf\":{\"@id\":\"https:\/\/skimai.com\/uk\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/skimai.com\/top-20-facts\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/skimai.com\/top-20-facts\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/skimai.com\/wp-content\/uploads\/2019\/02\/Blog-2-image.jpg\",\"datePublished\":\"2019-09-10T11:14:06+00:00\",\"dateModified\":\"2024-05-20T12:38:39+00:00\",\"description\":\"Skim AI extracts only top 20% facts, the snippets of information with the most contextual richness and validitiy so that you can find what you need, faster.\",\"breadcrumb\":{\"@id\":\"https:\/\/skimai.com\/top-20-facts\/#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/skimai.com\/top-20-facts\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/skimai.com\/top-20-facts\/#primaryimage\",\"url\":\"https:\/\/skimai.com\/wp-content\/uploads\/2019\/02\/Blog-2-image.jpg\",\"contentUrl\":\"https:\/\/skimai.com\/wp-content\/uploads\/2019\/02\/Blog-2-image.jpg\",\"width\":1500,\"height\":1000,\"caption\":\"Blog 2 image\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/skimai.com\/top-20-facts\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/skimai.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Searching for top 20% facts\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/skimai.com\/uk\/#website\",\"url\":\"https:\/\/skimai.com\/uk\/\",\"name\":\"Skim AI\",\"description\":\"The AI Agent Workforce Platform\",\"publisher\":{\"@id\":\"https:\/\/skimai.com\/uk\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/skimai.com\/uk\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/skimai.com\/uk\/#organization\",\"name\":\"Skim AI\",\"url\":\"https:\/\/skimai.com\/uk\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/skimai.com\/uk\/#\/schema\/logo\/image\/\",\"url\":\"http:\/\/skimai.com\/wp-content\/uploads\/2020\/07\/SKIM-AI-Header-Logo.png\",\"contentUrl\":\"http:\/\/skimai.com\/wp-content\/uploads\/2020\/07\/SKIM-AI-Header-Logo.png\",\"width\":194,\"height\":58,\"caption\":\"Skim AI\"},\"image\":{\"@id\":\"https:\/\/skimai.com\/uk\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.linkedin.com\/company\/skim-ai\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/skimai.com\/uk\/#\/schema\/person\/7a883b4a2d2ea22040f42a7975eb86c6\",\"name\":\"Greggory Elias\",\"url\":\"https:\/\/skimai.com\/fr\/author\/gregg\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u00c0 la recherche des meilleurs faits 20% - Comment Skim AI filtre le bruit","description":"Skim AI extrait uniquement les faits 20% les plus importants, les bribes d'informations les plus riches en contexte et les plus valides, afin que vous puissiez trouver ce dont vous avez besoin, plus rapidement.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/skimai.com\/fr\/les-20-faits-les-plus-marquants\/","og_locale":"fr_FR","og_type":"article","og_title":"Searching for top 20% facts - How Skim AI filters the noise","og_description":"Skim AI extracts only top 20% facts, the snippets of information with the most contextual richness and validitiy so that you can find what you need, faster.","og_url":"https:\/\/skimai.com\/fr\/les-20-faits-les-plus-marquants\/","og_site_name":"Skim AI","article_published_time":"2019-09-10T11:14:06+00:00","article_modified_time":"2024-05-20T12:38:39+00:00","og_image":[{"width":1500,"height":1000,"url":"https:\/\/skimai.com\/wp-content\/uploads\/2019\/02\/Blog-2-image.jpg","type":"image\/jpeg"}],"author":"Greggory Elias","twitter_card":"summary_large_image","twitter_misc":{"\u00c9crit par":"Greggory Elias","Dur\u00e9e de lecture estim\u00e9e":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/skimai.com\/top-20-facts\/#article","isPartOf":{"@id":"https:\/\/skimai.com\/top-20-facts\/"},"author":{"name":"Greggory Elias","@id":"https:\/\/skimai.com\/uk\/#\/schema\/person\/7a883b4a2d2ea22040f42a7975eb86c6"},"headline":"Searching for top 20% facts","datePublished":"2019-09-10T11:14:06+00:00","dateModified":"2024-05-20T12:38:39+00:00","mainEntityOfPage":{"@id":"https:\/\/skimai.com\/top-20-facts\/"},"wordCount":118,"publisher":{"@id":"https:\/\/skimai.com\/uk\/#organization"},"image":{"@id":"https:\/\/skimai.com\/top-20-facts\/#primaryimage"},"thumbnailUrl":"https:\/\/skimai.com\/wp-content\/uploads\/2019\/02\/Blog-2-image.jpg","articleSection":["LLMs \/ NLP"],"inLanguage":"fr-FR"},{"@type":"WebPage","@id":"https:\/\/skimai.com\/top-20-facts\/","url":"https:\/\/skimai.com\/top-20-facts\/","name":"\u00c0 la recherche des meilleurs faits 20% - Comment Skim AI filtre le bruit","isPartOf":{"@id":"https:\/\/skimai.com\/uk\/#website"},"primaryImageOfPage":{"@id":"https:\/\/skimai.com\/top-20-facts\/#primaryimage"},"image":{"@id":"https:\/\/skimai.com\/top-20-facts\/#primaryimage"},"thumbnailUrl":"https:\/\/skimai.com\/wp-content\/uploads\/2019\/02\/Blog-2-image.jpg","datePublished":"2019-09-10T11:14:06+00:00","dateModified":"2024-05-20T12:38:39+00:00","description":"Skim AI extrait uniquement les faits 20% les plus importants, les bribes d'informations les plus riches en contexte et les plus valides, afin que vous puissiez trouver ce dont vous avez besoin, plus rapidement.","breadcrumb":{"@id":"https:\/\/skimai.com\/top-20-facts\/#breadcrumb"},"inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/skimai.com\/top-20-facts\/"]}]},{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/skimai.com\/top-20-facts\/#primaryimage","url":"https:\/\/skimai.com\/wp-content\/uploads\/2019\/02\/Blog-2-image.jpg","contentUrl":"https:\/\/skimai.com\/wp-content\/uploads\/2019\/02\/Blog-2-image.jpg","width":1500,"height":1000,"caption":"Blog 2 image"},{"@type":"BreadcrumbList","@id":"https:\/\/skimai.com\/top-20-facts\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/skimai.com\/"},{"@type":"ListItem","position":2,"name":"Searching for top 20% facts"}]},{"@type":"WebSite","@id":"https:\/\/skimai.com\/uk\/#website","url":"https:\/\/skimai.com\/uk\/","name":"Skim AI","description":"La plateforme de travail des agents de l'IA","publisher":{"@id":"https:\/\/skimai.com\/uk\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/skimai.com\/uk\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"fr-FR"},{"@type":"Organization","@id":"https:\/\/skimai.com\/uk\/#organization","name":"Skim AI","url":"https:\/\/skimai.com\/uk\/","logo":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/skimai.com\/uk\/#\/schema\/logo\/image\/","url":"http:\/\/skimai.com\/wp-content\/uploads\/2020\/07\/SKIM-AI-Header-Logo.png","contentUrl":"http:\/\/skimai.com\/wp-content\/uploads\/2020\/07\/SKIM-AI-Header-Logo.png","width":194,"height":58,"caption":"Skim AI"},"image":{"@id":"https:\/\/skimai.com\/uk\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.linkedin.com\/company\/skim-ai"]},{"@type":"Person","@id":"https:\/\/skimai.com\/uk\/#\/schema\/person\/7a883b4a2d2ea22040f42a7975eb86c6","name":"Greggory Elias","url":"https:\/\/skimai.com\/fr\/author\/gregg\/"}]}},"_links":{"self":[{"href":"https:\/\/skimai.com\/fr\/wp-json\/wp\/v2\/posts\/2188","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/skimai.com\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/skimai.com\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/skimai.com\/fr\/wp-json\/wp\/v2\/users\/1003"}],"replies":[{"embeddable":true,"href":"https:\/\/skimai.com\/fr\/wp-json\/wp\/v2\/comments?post=2188"}],"version-history":[{"count":0,"href":"https:\/\/skimai.com\/fr\/wp-json\/wp\/v2\/posts\/2188\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/skimai.com\/fr\/wp-json\/wp\/v2\/media\/754"}],"wp:attachment":[{"href":"https:\/\/skimai.com\/fr\/wp-json\/wp\/v2\/media?parent=2188"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/skimai.com\/fr\/wp-json\/wp\/v2\/categories?post=2188"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/skimai.com\/fr\/wp-json\/wp\/v2\/tags?post=2188"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}