Meta Code has released Llama 70B, a new and improved version of its code generation model that allows writing code in a variety of programming languages such as Python, C++, Java and PHP, based on natural language hints or existing code snippets.
Code Llama 70B is one of the largest open source AI code generation templates and the modern standard for code generation.
The ability to generate code has long been a goal of computer scientists because it promises increased efficiency, ease of use, and creativity in software development.
Code generation templates like Code Llama 70B provide the ability to write code, modify and enhance existing code using a few simple commands, or easily translate code from one language to another.
Generating code is not easy because code is precise and strict, unlike natural language which is generally loose and flexible.
The code follows strict rules and syntax to achieve the desired result and behavior. The code is often complex and long, requiring context and logic to understand and write.
Code generation models require massive amounts of data, computing power, and intelligence to meet these challenges, and that's where the new Code Llama 70B model comes into play.
Code Llama 70B is a large, state-of-the-art language model trained on 500 billion code symbols and code-related data.
The new meta model also features a large pop-up window containing 100,000 tokens, making it capable of processing and generating long and complex code.
The Llama 70B code is based on the large general metalanguage model Llama 2, which contains 175 billion parameters.
Code Llama 70B is a special version of Llama 2 tuned to generate code using a technique called self-attention, which allows learning relationships and dependencies between different pieces of code.
Code Llama 70B includes a number of features, including CodeLlama-70B-Instruct, which enables models to understand natural language instructions and generate the corresponding code.
This feature scored 67.8 points on HumanEval, a benchmark dataset of 164 programming questions used to test the functional correctness and logic of code generation models.
This score exceeds the results of previous best open source models such as CodeGen-16B-Mono and StarCoder and is comparable to the results of closed models such as GPT-4 (68.2 points) and Gemini Pro (69.4 points).
The CodeLlama-70B Instruct function can handle a variety of tasks such as sorting, searching, filtering, and manipulating data, as well as implementing algorithms such as binary search and Fibonacci.
Code Llama 70B is available for free download and allows researchers and commercial users to use and modify it.
Meta also provides documentation and tutorials on how to use and modify templates for different purposes and languages.