Meta’s Llama challenges GPT4

Meta has recently released its free code generation AI model and programming tool, Code Llama 70B, to challenge OpenAI’s GPT-4 in the AI coding race. Code Llama 70B is the latest version of Meta’s AI coding tool, building upon the foundation laid by their Llama 2 language model. It has 70 billion parameters, surpassing its predecessors in terms of size and capability.

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Code Llama 70B is designed to generate and debug larger programming strings compared to previous versions. It can handle a greater number of queries, which means developers can provide more prompts during programming, leading to increased accuracy in code generation. In terms of performance, Code Llama 70B achieved a 53% accuracy score on the HumanEval benchmark, surpassing GPT-3.5’s 48.1% and approaching the 67% reported for GPT-4.

However, it’s important to note that GPT-4 has been reported to have higher performance than Llama 2 in coding, according to statistics and performance tests. 

GPT-4 is also more versatile than Llama 2 and can be used for a wider range of tasks, such as generating creative text formats, translating languages, and answering questions.Despite these differences, both models have their strengths and are advancing the field of AI.

Llama 2, for instance, has been noted for its proficiency in factuality and summarization tasks, approaching the performance levels of GPT-4. It’s also worth noting that Llama 2 is freely available for both research and commercial use, which could potentially speed up its adoption.In conclusion, while GPT-4 currently leads in terms of coding performance and versatility, Meta’s Code Llama 70B represents a significant step forward in the AI coding race, offering a competitive alternative with its advanced code-generation capabilities.

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