{"id":141919,"date":"2023-09-01T20:38:50","date_gmt":"2023-09-01T15:08:50","guid":{"rendered":"https:\/\/dripp.zone\/news\/?p=141919"},"modified":"2023-09-01T20:38:50","modified_gmt":"2023-09-01T15:08:50","slug":"meta-launches-community-licensed-ai-coding-tool-to-the-public-crypto-news","status":"publish","type":"post","link":"https:\/\/dripp.zone\/news\/meta-launches-community-licensed-ai-coding-tool-to-the-public-crypto-news\/","title":{"rendered":"Meta launches community-licensed AI coding tool to the public &#8211; Crypto News"},"content":{"rendered":"<div data-v-2649fa34=\"\">\n<p>Meta AI <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/about.fb.com\/news\/2023\/08\/code-llama-ai-for-coding\/\">announced<\/a> the launch of \u2018Code Llama,\u2019 a community-licensed artificial intelligence (AI) coding tool built on the Llama2 large language model (LLM), on Aug. 24.<\/p>\n<p>The new tool is a fine-tuned version of LLama2 that\u2019s been trained specifically for the purpose of generating and discussing computer code. <\/p>\n<p>According to a blog post from Meta, Code Llama is split into several variants with one model fine-tuned for general coding in a number of languages (including Python, C++, Java, PHP, Typescript, C#, Bash and more).<\/p>\n<p>Other models include Code Llama Python and Code Llama Instruct. The former is fine-tuned for Python applications. As Meta puts it, this is to further support the AI community:<\/p>\n<blockquote><p>\u201cBecause Python is the most benchmarked language for code generation \u2014 and because Python and PyTorch play an important role in the AI community \u2014 we believe a specialized model provides additional utility.\u201d<\/p><\/blockquote>\n<p>According to Meta, the emphasis in these first two model variants is on understanding, explaining, and discussing code. <\/p>\n<p>Code Llama Instruct, however, is the fine-tuned version of Code Llama that Meta recommends for actually generating code. According to the blog post, it&#8217;s been engineered specifically to generate \u201chelpful and safe answers in natural language.&#8221;<\/p>\n<p>The models are also available in different parameter sizes in order to operate in different environments. Code Llama comes in 7-billion, 14-billion, and 34-billion parameter sizes, each with different functionality. <\/p>\n<p>Meta says the 7B models, for example, can run on a single GPU. While the 14B and 34B models would require more substantial hardware, they\u2019re also capable of more complex tasks \u2014 especially those requiring low-latency feedback such as real-time processes. <\/p>\n<blockquote class=\"twitter-tweet\">\n<p lang=\"en\" dir=\"ltr\">CodeLlama &#8212; a version of Llama2 that was fine-tuned for code tasks is live now. Available in 7B, 13B and 34B.<a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/t.co\/4PQBlchlrn\">https:\/\/t.co\/4PQBlchlrn<\/a> <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/t.co\/LEz9z44IkI\">pic.twitter.com\/LEz9z44IkI<\/a><\/p>\n<p>\u2014 Soumith Chintala (@soumithchintala) <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/twitter.com\/soumithchintala\/status\/1694712731243511947?ref_src=twsrc%5Etfw\">August 24, 2023<\/a><\/p><\/blockquote>\n<p>Code Llama is generally <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/ai.meta.com\/llama\/license\/\">available<\/a> under the same community license agreement as Llama2, meaning it can be used for personal or business use with proper attribution. <\/p>\n<p>This could be a massive boon for businesses and individuals who have a high need use-case for LLM models for coding purposes, such as fintech institutions that are traditionally underserved by the AI and big tech communities. <\/p>\n<p>Web3 innovators, trading bot developers, and cryptocurrency exchanges all operate in a constantly-shifting environment that, to date, has seen relatively little in the way of dedicated B2B or B2C solutions for day-to-day crypto and blockchain coding problems from big tech. <\/p>\n<p><strong><em>Related:<\/em><\/strong><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/cointelegraph.com\/news\/naver-corp-unveils-south-korea-chatbot-generative-ai-tool-like-chatgpt\"><strong><em> Naver Corp unveils South Korea\u2019s answer to ChatGPT and generative AI<\/em><\/strong><\/a><\/p>\n<p>Dedicated coding tools, such as GitHub\u2019s Co-Pilot (built with ChatGPT technology) can go a long way towards aiding developers in these underserved areas, but the costs of use can be prohibitive for some users and the lack of open-source options can pose problems for proprietary software developers. <\/p>\n<p>The existence of a free-to-use, community-licensed alternative based on Meta\u2019s highly-touted Llama2 LLM could help level the playing field for blockchain and crypto projects with small development teams. <\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Meta AI announced the launch of \u2018Code Llama,\u2019 a community-licensed artificial intelligence (AI) coding tool built on the Llama2 large language model (LLM), on Aug. 24. The new tool is a fine-tuned version of LLama2 that\u2019s been trained specifically for the purpose of generating and discussing computer code. According to a blog post from Meta, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":141920,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[235,203,210,234,231,232,237,238,236,233],"class_list":["post-141919","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blockchain","tag-bitcoin","tag-crypto-currency","tag-elon-musk","tag-ethereum","tag-hyperledger","tag-ibm","tag-mining","tag-nodes","tag-spacex","tag-tesla"],"_links":{"self":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts\/141919","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/comments?post=141919"}],"version-history":[{"count":2,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts\/141919\/revisions"}],"predecessor-version":[{"id":146806,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts\/141919\/revisions\/146806"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/media\/141920"}],"wp:attachment":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/media?parent=141919"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/categories?post=141919"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/tags?post=141919"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}