Meta AI has released a new and improved version of the program** generative model called Code Llama 70B. The updated model is capable of writing programs based on natural language prompts or based on existing program fragments using a variety of programming languages such as Python, C++, J**A, and PHP. It's faster, better, and more accurate.
Code Llama 70b is one of the largest open-source AI models for program generation and the latest paradigm in the field of program generation. Procedural generation is a branch of artificial intelligence that aims to automate the process of creating and modifying software. Imagine being able to tell your computer what you want it to do and have it write programs for you. Or be able to modify and improve existing programs with a few simple commands**. Or the ability to easily translate programs from one language to another. These are just some of the possibilities that a program like Code Llama 70b can offer when generating models.
today we're releasing code llama 70b: a new, more performant version of our llm for code generation — ailable under the same license as previous code llama models.
download the models ➡️codellama-70b
codellama-70b-python
codellama-70b-instructpic.twitter.com/izc8fapyez
But generating a program is not an easy task. Unlike natural language, which is often vague and flexible, programs** are precise and rigorous. It must follow strict rules and syntax, and it must produce the expected output and behavior. In addition, programs are often complex and lengthy, requiring a lot of context and logic to understand and generate. In order to meet these challenges, procedural generation models require a lot of data, a lot of computing power, and a lot of intelligence.
That's the biggest play of the Code Llama 70b. Code Llama 70B is a state-of-the-art large language model (LLM) that has been trained on 500 billion programs and program-related data, making it more powerful and robust than previous models. It also has a larger context window with 100,000 tokens, which allows it to process and generate longer, more complex programs**.
CODE LLAMA 70B is based on LLAMA 2, one of the largest LLMs in the world with 175 billion parameters. Llama 2 is a general-purpose LLM capable of generating text in any field and style, from poetry to news articles. Code Llama 70b is a specialized version of LLAMA 2 that has been specially adapted for writing programs, using a technique called self-attention, which allows it to learn the relationships and dependencies between different parts of the program.
A highlight of Code Llama 70b is Codellama-70B-Instruct, a fine-tuned variant specifically designed to understand natural language instructions and generate programs accordingly**. This variant gained 678 points, humaneval is a benchmark dataset of 164 programming questions that is used to test the functional correctness and logic of the model generated by the program. This score surpasses the best scores of previous open models, such as codegen-16b-mono (29.).3) and starcoder (401) and comparable to closed models, such as GPT-4 (68.).2) and Gemini Pro (69.)4）。The codellama-70b-instruct can handle a variety of tasks, such as sorting, searching, filtering, and manipulating data, as well as implementing algorithms such as binary search, Fibonacci, and factorial.
Code Llama 70b also includes Codellama-70B-Python, a variant optimized for Python, one of the most popular and widely used programming languages in the world. This variant is trained on top of the Python program by another 100 billion programs, making it more fluent and accurate at generating Python programs. Codellama-70b-python can also handle a range of tasks such as web crawling, data analysis, machine learning (ML), and web development.
CODE LLAMA 70B is available for free** under the same license as LLAMA 2 and previous CODE LLAMA models, allowing researchers and commercial users to use and modify it. The model can be accessed and used through various platforms and frameworks, such as Hugging Face, PyTorch, TensorFlow, and Jupyter Notebooks. Meta AI also provides files and tutorials on how to use and fine-tune models for different purposes and languages.
Mark Zuckerberg, CEO of Meta AI, said in a statement posted on his Facebook: "We are open-sourcing a new, improved Code Llama, including a larger 70B parameter model. Writing and editing programs** has become one of the most important uses of AI models today. Program capabilities have also proven to be important for AI models to handle messages from other domains more rigorously and logically. I'm proud of the progress made here and look forward to incorporating these advances into Llama 3 and future models." ”
Code LLAMA 70B is expected to have a significant impact on the programming field and the software development industry, as it provides a powerful and easy-to-use tool for creating and improving programs**. It can also lower the barrier to entry for people who want to learn programming, as it can provide guidance and feedback based on natural language instructions. In addition, Code LLAMA 70B enables new applications and use cases, such as program translation, program summarization, program documentation, program analysis, and program debugging.
Code Llama 70b and other LLAMA models are available directly from Meta AI**. More information and documentation can be found on GitHub and Hugging Face.