Artificial Intelligence continues to advance, bringing automation and convenience to everyday life. Meta has developed an AI tool called Code Llama, designed to create and explain code using natural language, specifically English.
Code Llama is versatile, capable of completing unfinished code and fixing errors across various programming languages including Python, C++, Java, PHP, Typescript, C#, and Bash.
Versions of Code Llama include specialized variants optimized for Python and tailored to understand commands like “Write a function that generates the Fibonacci sequence.” Based on Meta’s Llama 2 text-generating model, which was recently open sourced, Code Llama was trained on a dataset that emphasizes code-related information. This training enabled Code Llama to understand complex relationships between code and natural language better than its predecessor, Llama 2.
Meta trained Code Llama using a vast dataset of 500 billion tokens of code and related data. To enhance its Python capabilities, an additional 100 billion tokens of Python code were used for fine-tuning.
Different versions of Code Llama are equipped to seamlessly integrate new code into existing programs. The models range in size from 7 billion parameters to the largest, a 34 billion-parameter model, which Meta claims is the most powerful open-source code generator available.
Overall, Code Llama represents a significant leap in AI technology, revolutionizing how developers write and manage code across different programming languages.