After releasing AI models for text generation, language translation, and audio generation, Meta today released Open Source Code Llama, a machine learning system that can generate and explain code in natural language – specifically English.
Like GitHub Copilot and Amazon CodeWhisperer, as well as open source AI code engines StarCoder, StableCode and PolyCoder, Code Llama can complete and debug existing code in multiple programming languages, including Python, C++, Java, PHP . Typescript, C# and Bash.
"At Meta, we believe that AI models, but especially large language models for coding, benefit most from an open approach, both in terms of innovation and security," Meta said. in a post on her blog.
“Available public models, especially for code, can facilitate the development of new technologies that improve people's lives. By releasing code models like Code Llama, the entire community can evaluate their capabilities, identify issues, and fix vulnerabilities. "
Το Code Llama, το οποίο είναι available σε διάφορες γεύσεις, συμπεριλαμβανομένης μιας έκδοσης βελτιστοποιημένης για Python και μιας έκδοσης που έχει βελτιστοποιηθεί για την κατανόηση των οδηγιών (π.χ. “Write me a function that output the fibonacci sequence”), βασίζεται στο μοντέλο δημιουργίας κειμένου Llama 2 που η Meta κυκλοφόρησε με ανοιχτό κώδικα νωρίτερα αυτόν τον μήνα.
While Llama 2 could generate code, it wasn't necessarily good code, and certainly couldn't even approach the quality that a purpose-built model like Copilot can produce.
Download it Code Llama model.
If you are interested read more at AI blog
