news studionews studio

近日,Meta公司宣布对其代码生成AI模型Code Llama 70B进行了重大更新,这一更新被扎克伯格称为迄今为止“最大、性能最优的模型”。Code Llama工具自去年8月发布以来,一直对所有人免费开放使用。新版本的Code Llama 70B在处理查询能力上有了显著提升,根据HumanEval基准测试,其准确率已经达到了53%,这一成绩不仅超越了之前版本的48.1%,也超过了GPT-3.5的表现。

尽管Code Llama 70B在准确率上取得了显著进步,但与OpenAI论文中提到的GPT-4的67%准确率相比,仍有一段不小的差距。这一差距表明,尽管Meta在AI模型开发上取得了进展,但人工智能领域的竞争仍然激烈,技术发展日新月异。

Code Llama 70B的推出,不仅展示了Meta在人工智能领域的实力,也反映了该公司对于开源社区的贡献。通过免费提供这一强大的工具,Meta鼓励全球开发者和研究人员参与到AI技术的创新和应用中来,共同推动人工智能技术的发展。

随着Code Llama 70B的推出,我们可以预见,未来在代码生成、软件开发等领域,人工智能将扮演更加重要的角色。同时,这也将激励更多的科技公司和研究机构投入到AI模型的研发中,以期达到甚至超越Meta的这一成就。

Title: Meta Launches Code Llama 70B, Surpassing GPT-3.5 in Performance
Keywords: Open Source Code, AI Model, Performance Enhancement
News content:
Recently, Meta announced a significant update to its code generation AI model, Code Llama 70B, which Mark Zuckerberg described as the “largest and most capable model” to date. Since its release last August, Code Llama has been freely available to everyone. The new version of Code Llama 70B has seen a substantial improvement in its ability to handle queries, achieving an accuracy rate of 53% in the HumanEval benchmark, surpassing the 48.1% of the previous version and GPT-3.5.

Despite the progress in accuracy, Code Llama 70B still falls short of the 67% accuracy rate of GPT-4 as mentioned in OpenAI’s research paper. This gap highlights the ongoing competition in the field of artificial intelligence and the rapid pace of technological advancement.

The release of Code Llama 70B not only showcases Meta’s strength in the AI field but also reflects the company’s contribution to the open-source community. By offering this powerful tool for free, Meta encourages developers and researchers worldwide to participate in the innovation and application of AI technology, jointly advancing the development of artificial intelligence.

With the introduction of Code Llama 70B, we can anticipate that artificial intelligence will play an increasingly important role in areas such as code generation and software development. This will also motivate more technology companies and research institutions to invest in the development of AI models, aiming to achieve or even surpass Meta’s achievements.

【来源】https://www.ithome.com/0/747/917.htm

Views: 1

发表回复

您的邮箱地址不会被公开。 必填项已用 * 标注