Meta Releases its Code-Writing and Debugging Tool ‘Code Llama’ - Visualistan -->

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Meta has launched its own code-writing tool ‘Code Llama,’ that it claims can make the task of code completion easier. Code Llama is developed off of Meta’s larger language model ‘Llama 2’ and uses the same community license as the Llama 2.

 

Free for research and commercial use, Code Llama is capable of generating new code strings from prompts as well as debugging specific existing code strings.

 

Meta has also developed other versions of Code Llama, including Code Llama-Instrct, which understands instructions in natural language, and Code Llama-Python, a specialized version of the tool.

Speaking about the importance of Code Llama in terms of its usage, Meta says “the goal is to make developer workflows more efficient so they can focus on the most human-centric aspects of their jobs.” 

 

The tech giant also emphasizes that Code Llama has been tested to show a better performance as compared to publicly available LLMs that are already being used for creating and debugging codes. More precisely, Meta reveals that Code Llama received a 53.7% score on the code benchmark HumanEval which indicates the tool’s ability to accurately write code based on a text description.

 

Meta plans to release Code Llama in three sizes, the smallest of which can fit on a single GPU for more low-latency projects. 

Meta Releases its Code-Writing and Debugging Tool ‘Code Llama’



Meta has launched its own code-writing tool ‘Code Llama,’ that it claims can make the task of code completion easier. Code Llama is developed off of Meta’s larger language model ‘Llama 2’ and uses the same community license as the Llama 2.

 

Free for research and commercial use, Code Llama is capable of generating new code strings from prompts as well as debugging specific existing code strings.

 

Meta has also developed other versions of Code Llama, including Code Llama-Instrct, which understands instructions in natural language, and Code Llama-Python, a specialized version of the tool.

Speaking about the importance of Code Llama in terms of its usage, Meta says “the goal is to make developer workflows more efficient so they can focus on the most human-centric aspects of their jobs.” 

 

The tech giant also emphasizes that Code Llama has been tested to show a better performance as compared to publicly available LLMs that are already being used for creating and debugging codes. More precisely, Meta reveals that Code Llama received a 53.7% score on the code benchmark HumanEval which indicates the tool’s ability to accurately write code based on a text description.

 

Meta plans to release Code Llama in three sizes, the smallest of which can fit on a single GPU for more low-latency projects. 

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