Meta's Llama, particularly the Code Llama 70B, is being positioned to challenge GPT-4 in the field of AI coding. The Code Llama 70B is a free code generation AI model and programming tool released by Meta. It is designed to generate and debug larger programming strings and has been trained on 500 billion tokens of code and code-related data, with a context window of 100. The Code Llama 70B is a significant advancement, outperforming GPT-3.5 and approaching the performance of GPT-4 in terms of accuracy. Meta's Llama models, including the Code Llama, are part of Meta's efforts to compete with GPT-4 in the AI coding race. The company aims to establish Llama models as an enabling technology in the AI market, similar to what Google has done with Android in the mobile market.
While GPT-4 is still considered more powerful than Llama 2 and Code Llama, Meta is working to close the gap and make its AI models more competitive. The release of the Code Llama 70B is a significant step in this direction, and it is expected to bring more competition to the world of generative AI chatbots. However, experts have warned about the potential consequences of an open-source approach, expressing concerns about the misuse of powerful AI tools and the sourcing of data used to train AI models. Despite the challenges, Meta's efforts with the Llama models demonstrate the company's commitment to advancing AI technology and competing with established AI models like GPT-4.
GPT-4 is better at handling complex tasks with higher accuracy than Llama 2. The HumanEval benchmark measures an LLM’s coding abilities. This test dataset by OpenAI includes 164 programming problems with a function signature, docstring, body, and several unit tests. The coding problems are written in Python and the comments and docstrings contain natural text in. Referencing the HumanEval (0-shot) scores, GPT-4 is ranked higher at 67.0% compared to Llama 2 at 29.9%. Although the HumanEval (0-shot) score for Code Llama was better at 53.0%, GPT-4 still outperforms Code Llama and Llama 2 in programming abilities.
In conclusion, Meta's Llama models, particularly the Code Llama 70B, are being positioned to challenge GPT-4 in the field of AI coding. While GPT-4 is still considered more powerful than Llama 2 and Code Llama, Meta is working to close the gap and make its AI models more competitive. The release of the Code Llama 70B is a significant step in this direction, and it is expected to bring more competition to the world of generative AI chatbots. However, there are challenges associated with open-source AI models, including concerns about the misuse of powerful AI tools and the sourcing of data used to train AI models. Despite these challenges, Meta's efforts with the Llama models demonstrate the company's commitment to advancing AI technology and competing with established AI models like GPT-4.
Here is more information about Meta's Code Llama: https://ai.meta.com/blog/code-llama-large-language-model-coding/
