{"id":7142,"date":"2023-11-06T09:38:33","date_gmt":"2023-11-06T09:38:33","guid":{"rendered":"https:\/\/dailyai.com\/?p=7142"},"modified":"2023-11-06T09:38:33","modified_gmt":"2023-11-06T09:38:33","slug":"-46","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2023\/11\/-46\/","title":{"rendered":"Grok LLM-detaljer og hvordan det st\u00e5r seg mot ChatGPT"},"content":{"rendered":"<p><strong>Elon Musk kunngjorde betalanseringen av xAIs chatbot Grok, og den f\u00f8rste statistikken gir oss en id\u00e9 om hvordan den st\u00e5r seg i forhold til andre modeller.<\/strong><\/p>\n<p>Den <a href=\"https:\/\/dailyai.com\/nb\/2023\/11\/-47\/\">Grok chatbot<\/a> er basert p\u00e5 xAIs frontier-modell Grok-1, som selskapet har utviklet i l\u00f8pet av de siste fire m\u00e5nedene. xAI har ikke sagt hvor mange parametere den ble trent med, men kom med noen tall for forgjengeren.<\/p>\n<p>Grok-0, prototypen for den n\u00e5v\u00e6rende modellen, ble trent p\u00e5 33 milliarder parametere, s\u00e5 vi kan sannsynligvis anta at Grok-1 ble trent p\u00e5 minst like mange.<\/p>\n<p>Det h\u00f8res ikke mye ut, men xAI hevder at Grok-0-ytelsen \"n\u00e6rmer seg LLaMA 2 (70B)-kapasiteten p\u00e5 standard LM-benchmarks\", selv om den brukte halvparten av treningsressursene.<\/p>\n<p>I mangel av et parametertall m\u00e5 vi ta selskapet p\u00e5 ordet n\u00e5r det beskriver Grok-1 som \"state-of-the-art\" og at den er \"betydelig kraftigere\" enn Grok-0.<\/p>\n<p>Grok-1 ble testet ved \u00e5 evaluere den p\u00e5 disse standard benchmarkene for maskinl\u00e6ring:<\/p>\n<ul>\n<li>GSM8k: Matteoppgaver for ungdomsskolen<\/li>\n<li>MMLU: Tverrfaglige flervalgssp\u00f8rsm\u00e5l<\/li>\n<li>HumanEval: Oppgave for fullf\u00f8ring av Python-kode<\/li>\n<li>MATH: Matematikkoppgaver for ungdomsskolen og videreg\u00e5ende skole skrevet i LaTeX<\/li>\n<\/ul>\n<p>Her er et sammendrag av resultatene.<\/p>\n<figure id=\"attachment_7143\" aria-describedby=\"caption-attachment-7143\" style=\"width: 1828px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-7143 size-full\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results.png\" alt=\"\" width=\"1828\" height=\"612\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results.png 1828w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-300x100.png 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-1024x343.png 1024w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-768x257.png 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-1536x514.png 1536w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-370x124.png 370w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-800x268.png 800w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-740x248.png 740w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-20x7.png 20w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-1600x536.png 1600w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-1320x442.png 1320w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-143x48.png 143w\" sizes=\"auto, (max-width: 1828px) 100vw, 1828px\" \/><figcaption id=\"caption-attachment-7143\" class=\"wp-caption-text\">Resultater fra Grok-1-referansetesten. Kilde: xAI<\/figcaption><\/figure>\n<p>Resultatene er interessante fordi de i det minste gir oss en viss pekepinn p\u00e5 hvordan Grok st\u00e5r seg i forhold til andre frontier-modeller.<\/p>\n<p>xAI sier at disse tallene viser at Grok-1 sl\u00e5r \"alle andre modeller i sin beregningsklasse\" og bare ble sl\u00e5tt av modeller som var trent opp med \"betydelig st\u00f8rre mengder treningsdata og beregningsressurser\".<\/p>\n<p>GPT-3.5 har 175 milliarder parametere, s\u00e5 vi kan anta at Grok-1 har mindre enn det, men sannsynligvis mer enn de 33 milliardene som prototypen har.<\/p>\n<p>Grok-chatboten er beregnet p\u00e5 oppgaver som \u00e5 svare p\u00e5 sp\u00f8rsm\u00e5l, hente informasjon, skrive kreative tekster og hjelpe til med koding. P\u00e5 grunn av det mindre kontekstvinduet er det mer sannsynlig at den vil bli brukt til kortere interaksjoner enn superprompt-brukstilfeller.<\/p>\n<p>Med en kontekstlengde p\u00e5 8192 har Grok-1 bare halvparten s\u00e5 lang kontekst som GPT-3.5 har. Dette er en indikasjon p\u00e5 at xAI sannsynligvis hadde til hensikt at Grok-1 skulle bytte ut en lengre kontekst med bedre effektivitet.<\/p>\n<p>Selskapet sier at noe av den n\u00e5v\u00e6rende forskningen fokuserer p\u00e5 \"forst\u00e5else og gjenfinning av lange kontekster\", s\u00e5 den neste versjonen av Grok kan godt ha et st\u00f8rre kontekstvindu.<\/p>\n<p>Det n\u00f8yaktige datasettet som ble brukt til \u00e5 trene Grok-1 er ikke klart, men det inkluderte nesten helt sikkert tweets p\u00e5 X, og Grok-chatboten har ogs\u00e5 tilgang til internett i sanntid.<\/p>\n<p>Vi m\u00e5 vente p\u00e5 flere tilbakemeldinger fra betatestere for \u00e5 f\u00e5 en reell f\u00f8lelse av hvor god modellen faktisk er.<\/p>\n<p>Vil Grok hjelpe oss med \u00e5 l\u00f8se livets, universets og altings mysterier? Kanskje ikke helt enn\u00e5, men det er en underholdende start.<\/p>","protected":false},"excerpt":{"rendered":"<p>Elon Musk kunngjorde beta-lanseringen av xAIs chatbot kalt Grok, og den f\u00f8rste statistikken gir oss en id\u00e9 om hvordan den st\u00e5r seg mot andre modeller. Grok-chatboten er basert p\u00e5 xAIs grensemodell Grok-1, som selskapet har utviklet i l\u00f8pet av de siste fire m\u00e5nedene. xAI har ikke sagt hvor mange parametere den ble trent med, men ertet med noen tall for forgjengeren. Grok-0, prototypen for den n\u00e5v\u00e6rende modellen, ble trent p\u00e5 33 milliarder parametere, s\u00e5 vi kan nok anta at Grok-1 ble trent p\u00e5 minst like mange. Det h\u00f8res ikke mye ut, men<\/p>","protected":false},"author":6,"featured_media":7144,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[115,118,223],"class_list":["post-7142","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-chatgpt","tag-llms","tag-xai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Grok LLM details and how it stacks up against ChatGPT | 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\/nb\/2023\/11\/-46\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Grok LLM details and how it stacks up against ChatGPT | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Elon Musk announced the beta launch of xAI\u2019s chatbot called Grok and initial stats are giving us an idea of how it stacks up against other models. 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