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微软旗下的代码托管平台GitHub近日推出了一项新的服务——GitHub Models,旨在为人工智能工程师提供一个平台,帮助他们选择和部署适合自己应用的AI模型。这项服务目前处于限量公测阶段,已经可以对接包括OpenAI的GPT-4o和GPT-4o mini、微软的Phi 3、Meta的Llama 3.1以及Mistral的Large 2等AI模型。GitHub Models承诺未来将不断扩充更多的语言和视觉模型,以满足不同开发者的需求。

GitHub Models服务的推出,意味着开发者可以通过一个平台直接测试和部署各种AI模型,而不需要自己进行复杂的模型训练和部署工作。这对于那些需要快速迭代和优化AI应用的项目来说,是一个极大的便利。此外,GitHub Models还提供了Model Playground功能,允许开发者测试不同的提示和模型参数,以便找到最适合自己的模型设置。

这项服务的推出,也是微软在人工智能领域布局的一部分。随着AI技术的不断发展,GitHub Models有望成为连接AI模型提供商和开发者之间的桥梁,推动人工智能技术的普及和应用。

英语如下:

Title: “Microsoft’s GitHub Launches AI Model Platform for Engineers”

Keywords: GitHub Models, AI Engineers, AI Model Trial

Content: Microsoft’s code hosting platform GitHub has recently introduced a new service called GitHub Models, aimed at providing artificial intelligence engineers with a platform to select and deploy AI models tailored to their applications. The service is currently in a limited public beta testing phase, and it has already integrated with a range of AI models including OpenAI’s GPT-4o and GPT-4o mini, Microsoft’s Phi 3, Meta’s Llama 3.1, and Mistral’s Large 2. GitHub Models commits to expanding its offerings to include more language and visual models in the future to meet the diverse needs of developers.

The launch of GitHub Models represents a significant convenience for developers as it allows them to directly test and deploy various AI models from a single platform, eliminating the need for complex model training and deployment efforts on their own. This is particularly beneficial for projects that require rapid iteration and optimization of AI applications. Additionally, GitHub Models offers a Model Playground feature, enabling developers to test different prompts and model parameters to find the most suitable settings for their projects.

The introduction of this service is part of Microsoft’s broader strategy in the artificial intelligence sector. As AI technology continues to evolve, GitHub Models has the potential to become a bridge connecting AI model providers with developers, thereby accelerating the adoption and application of artificial intelligence technologies.

【来源】https://www.ithome.com/0/785/780.htm

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