{"id":4752,"date":"2023-08-28T09:24:15","date_gmt":"2023-08-28T09:24:15","guid":{"rendered":"https:\/\/dailyai.com\/?p=4752"},"modified":"2023-08-28T09:34:28","modified_gmt":"2023-08-28T09:34:28","slug":"meta-releases-code-llama-its-ai-tool-for-coding","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2023\/08\/meta-releases-code-llama-its-ai-tool-for-coding\/","title":{"rendered":"Meta frigiver Code Llama, sit AI-v\u00e6rkt\u00f8j til kodning"},"content":{"rendered":"<p><strong>Meta annoncerede udgivelsen af Code Llama, deres nye AI-v\u00e6rkt\u00f8j til kodning.<\/strong><\/p>\n<p><span style=\"font-weight: 400;\">Code Llama er en finjusteret version af Meta's Llama 2 LLM, som er blevet tr\u00e6net til at skrive og dokumentere kode. Det nye v\u00e6rkt\u00f8j tager beskrivelser p\u00e5 naturligt sprog og omdanner dem til kode. Det kan ogs\u00e5 debugge, forklare og dokumentere kode, der leveres som input.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Det er et godt v\u00e6rkt\u00f8j, hvis du lige har l\u00e6rt at kode, men det er softwareingeni\u00f8rer, der f\u00e5r mest ud af Code Llama.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">V\u00e6rkt\u00f8jet underst\u00f8tter de fleste af de popul\u00e6re programmeringssprog, herunder Python, C++, Java, PHP, Typescript (Javascript), C#, Bash og andre.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Med Code Llama kan du bede den om at \"skrive en funktion i Python til at udregne de f\u00f8rste 100 primtal\", og s\u00e5 genererer den koden for dig.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">V\u00e6rkt\u00f8jer som ChatGPT kan allerede skrive kode, men Code Llama har en r\u00e6kke funktioner, der uden tvivl kan g\u00f8re det til et bedre kodningsv\u00e6rkt\u00f8j.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">ChatGPT har et kontekstvindue p\u00e5 mellem 4.000 og 8.000 tokens, mens Code Llama kan h\u00e5ndtere op til 100.000 tokens kontekst. Den f\u00f8rste \u00e5benlyse fordel ved at have et st\u00f8rre kontekstvindue er, at det er muligt at skrive v\u00e6sentligt l\u00e6ngere kode.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Det er mere sp\u00e6ndende at kunne indtaste et stort stykke kode og s\u00e5 f\u00e5 Code Llama til at debugge det for dig. Hvis du ville bruge ChatGPT til det, skulle du debugge sm\u00e5 stykker ad gangen.<\/span><\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\" style=\"text-align: center;\">I dag udgiver vi Code Llama, en stor sprogmodel bygget oven p\u00e5 Llama 2, finjusteret til kodning og state-of-the-art til offentligt tilg\u00e6ngelige kodningsv\u00e6rkt\u00f8jer.<\/p>\n<p>I overensstemmelse med vores \u00e5bne tilgang er Code Llama nu offentligt tilg\u00e6ngelig for b\u00e5de forskning og kommerciel brug.<\/p>\n<p>Mere \u2b07\ufe0f<\/p>\n<p style=\"text-align: center;\">- Meta AI (@MetaAI) <a href=\"https:\/\/twitter.com\/MetaAI\/status\/1694729071325007993?ref_src=twsrc%5Etfw\">24. august 2023<\/a><\/p>\n<\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<p><span style=\"font-weight: 400;\">Meta har udgivet 3 st\u00f8rrelser af Code Llama med henholdsvis 7B, 13B og 34B parametre. De mindre modeller k\u00f8rer hurtigere og kr\u00e6ver mindre processorkraft, men er mindre kraftfulde end 34B-modellen.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">De to mindre modeller er ogs\u00e5 blevet tr\u00e6net med fill-in-the-middle (FIM) kapacitet. Det g\u00f8r det muligt for en programm\u00f8r at indtaste eksisterende kode og f\u00e5 Code Llama til at h\u00e5ndtere kodekomplettering.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ud over de grundl\u00e6ggende modeller, der underst\u00f8tter flere sprog, har Meta udgivet to versioner, der er specifikt tr\u00e6net i Python og Instruct.\u00a0<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Er Code Llama noget v\u00e6rd?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Meta udf\u00f8rte sine egne benchmarking-tests og fandt ud af, at Code Llama \"klarede sig bedre end open source, kodespecifikke LLM'er og overgik Llama 2.\"<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Her er benchmarktabellen, der viser, hvordan Code Llama klarer sig i forhold til andre modeller.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-4754\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/08\/LLM-Coding-Models-Comparison-839x1024.jpeg\" alt=\"Code Llama vs. andre AI-modeller\" width=\"650\" height=\"794\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/08\/LLM-Coding-Models-Comparison-839x1024.jpeg 839w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/08\/LLM-Coding-Models-Comparison-246x300.jpeg 246w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/08\/LLM-Coding-Models-Comparison-768x938.jpeg 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/08\/LLM-Coding-Models-Comparison-370x452.jpeg 370w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/08\/LLM-Coding-Models-Comparison-800x977.jpeg 800w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/08\/LLM-Coding-Models-Comparison-740x903.jpeg 740w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/08\/LLM-Coding-Models-Comparison-20x24.jpeg 20w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/08\/LLM-Coding-Models-Comparison-39x48.jpeg 39w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/08\/LLM-Coding-Models-Comparison.jpeg 1078w\" sizes=\"auto, (max-width: 650px) 100vw, 650px\" \/><\/p>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Kilde: <\/span><a href=\"https:\/\/ai.meta.com\/blog\/code-llama-large-language-model-coding\/\"><span style=\"font-weight: 400;\">Meta<\/span><\/a><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">GPT-4 er stadig foran med en vis afstand, men det er en stor model, og den er ikke gratis. Code Llama er gratis, og 7B-versionen kan k\u00f8re p\u00e5 din lokale maskine.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Brug af GPT-4 kr\u00e6ver, at din kode sendes gennem OpenAI's servere, og for mange virksomheder er det et stort problem. <a href=\"https:\/\/dailyai.com\/da\/2023\/08\/generative-ai-viewed-as-major-corporate-risk-surveys-reveal\/\">stor risiko for deres intellektuelle ejendom<\/a>.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Da Code Llama k\u00f8rer p\u00e5 lokale servere, er der ingen risiko for, at private virksomhedsdata bliver l\u00e6kket eller brugt til at tr\u00e6ne andre modeller.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ud over de udgivne modeller er <\/span><a href=\"https:\/\/scontent-iad3-1.xx.fbcdn.net\/v\/t39.2365-6\/369856151_1754812304950972_1159666448927483931_n.pdf\"><span style=\"font-weight: 400;\">Forskningspapir om Code Llama<\/span><\/a><span style=\"font-weight: 400;\"> refererede til en model kaldet \"Unnatural Code Llama\". Den scorede 62,2% p\u00e5 HumanEval-benchmarket, hvilket er meget t\u00e6t p\u00e5 GPT-4's 67%.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Der er ikke noget nyt om, hvorn\u00e5r den model udkommer, men den form for ydeevne sl\u00e5r Googles PaLM Coder ud af kurs og vil endda g\u00f8re GPT-4 sv\u00e6r at s\u00e6lge.<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Meta har annonceret udgivelsen af Code Llama, deres nye AI-v\u00e6rkt\u00f8j til kodning. Code Llama er en finjusteret version af Metas Llama 2 LLM, som er blevet tr\u00e6net til at skrive og dokumentere kode. Det nye v\u00e6rkt\u00f8j tager beskrivelser p\u00e5 naturligt sprog og omdanner dem til kode. Det kan ogs\u00e5 fejls\u00f8ge, forklare og dokumentere kode, der leveres som input. Det er et godt v\u00e6rkt\u00f8j, hvis du lige har l\u00e6rt at kode, men det er softwareingeni\u00f8rer, der vil f\u00e5 mest ud af Code Llama. V\u00e6rkt\u00f8jet underst\u00f8tter de fleste af de popul\u00e6re programmeringssprog, herunder Python, C++, Java, PHP, Typescript (Javascript), C#, Bash og andre.<\/p>","protected":false},"author":6,"featured_media":2467,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[83],"tags":[99,107,207,131],"class_list":["post-4752","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-product","tag-ai-race","tag-generative-ai","tag-llm","tag-meta"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Meta releases Code Llama, its AI tool for coding | 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\/2023\/08\/meta-releases-code-llama-its-ai-tool-for-coding\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Meta releases Code Llama, its AI tool for coding | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Meta announced the release of Code Llama, its new AI tool for coding. Code Llama is a fine-tuned version of Meta\u2019s Llama 2 LLM, which has been trained to write and document code. The new tool takes natural language descriptions and turns them into code. It can also debug, explain, and document code that is supplied as input. This is a great tool if you\u2019re just learning to code, but it\u2019s software engineers who will benefit most from Code Llama. 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