近日，Meta公司发布了一款名为Code Llama 70B的开源代码大模型，该模型在性能上超越了知名的人工智能模型GPT-3.5。Meta公司创始人扎克伯格宣布，该公司最近对其代码生成AI模型Code Llama 70B进行了更新，这款模型被认为是迄今为止“最大、性能最优的模型”。
Code Llama工具于去年8月发布，所有人都可以免费使用。新版Code Llama 70B现在能够处理比之前更多地查询。在HumanEval基准测试中，其准确率达到了53%，表现优于GPT-3.5的48.1%，但距离OpenAI论文中给出的GPT-4准确率（67%）还有一段差距。
这款模型的发布标志着Meta在人工智能领域取得了重要进展。Code Llama 70B的开源特性将有助于全球开发者共同研究和改进这款模型，进一步推动人工智能技术的发展。与此同时，这也可能加剧人工智能领域的竞争，尤其是在代码生成和自然语言处理等方面。
随着Code Llama 70B的发布，人们对于Meta公司在人工智能领域的未来期待更多。据悉，Meta公司将继续加大对人工智能的投入，推动更多创新技术的发展。
英文标题：Meta Unveils Open Source Code Llama 70B, Outperforming GPT-3.5
Keywords: Meta, Code Llama, Artificial Intelligence
News content:
Recently, Meta公司 has released a开源代码大模型 called Code Llama 70B, which outperforms the well-known artificial intelligence model GPT-3.5 in performance. Meta’s founder Mark Zuckerberg announced that the company has recently updated its code-generating AI model, Code Llama 70B, considering it the “largest and most performant model to date.”
The Code Llama tool was released last August and is available to everyone free of charge. The updated Code Llama 70B can now handle more queries than before. In the HumanEval benchmark test, its accuracy reached 53%, surpassing the 48.1% accuracy of GPT-3.5, but there is still a gap from the accuracy of GPT-4 reported in the OpenAI paper, which is 67%.
The release of this model signifies an important milestone for Meta in the field of artificial intelligence. The open-source nature of Code Llama 70B will enable developers around the world to collaborate and improve this model, further promoting the development of artificial intelligence technology. At the same time, this may also intensify competition in the field of artificial intelligence, especially in code generation and natural language processing.
With the release of Code Llama 70B, people expect more from Meta in the field of artificial intelligence in the future. It is known that Meta will continue to increase its investment in artificial intelligence and promote the development of more innovative technologies.
【来源】https://www.ithome.com/0/747/917.htm
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