Code Llama - AI Advances Coding | Large language models certification | What is generative ai | Large language models course udemy | Turtles AI

  As we anticipated a couple of days ago, today Meta has released #CodeLlaMa, an #AI #LLM (Large Language Model) that generates #computer #code from text #prompts. Leveraging Meta's state-of-the-art #Llama2 model, Code #Llama marks a major advance in #natural #language processing for software development. Meta today unveiled Code Llama, a new large language model capable of generating computer code from text prompts. The generative AI system marks a major advance in natural language processing for software development. Code Llama leverages Meta's state-of-the-art Llama 2 foundation model, further trained on extensive datasets of source code. It can produce code in languages like Python, Java, C++ and others directly from natural language descriptions of desired functionality. In benchmarks, Code Llama outperformed other publicly available AI coding assistants. It scored highly on tests of completing code based on documentation as well as writing full programs from text descriptions. Meta aims to make Code Llama freely available to democratize access to AI that makes programming more efficient. The company believes an open approach drives innovation and safety in generative AI. Developers can build on Code Llama to create new tools. Meta trained and evaluated Code Llama rigorously to ensure generated code is helpful, harmless and honest. But risks remain with any powerful generative model. The company cautions users to thoroughly test applications built on Code Llama and vet outputs. With responsible use, Code Llama could assist coders in many ways like suggesting complete functions, explaining code logic in natural language and automating rote programming tasks. Meta hopes it will make software development more accessible and let programmers focus on creative problem solving. Highlights: - Code Llama can generate code in languages like Python and Java directly from text descriptions. - In benchmarks, Code Llama outperformed other publicly available AI coding assistants. - Meta aims to make Code Llama freely available to democratize access to AI for programming. - With responsible use, Code Llama could assist coders in many ways like automating rote tasks. The release of Code Llama promises to be a game changer for software development. With its ability to produce code from text prompts, this AI system could automate routine coding tasks and make programming more efficient. What exciting new applications of this technology can you envision? How do you think Code Llama might impact programming workflows or the field as a whole? Share your perspectives - I'd love to hear thoughts on the promise and potential perils of this powerful new generative model. Let's discuss!