微软近日宣布，将其于12月发布的27亿参数的小模型「Phi-2」的许可更新为更宽松的MIT开源许可。这一举措使得软件的商业使用、分发、修改和私人使用变得更加自由。
微软此举旨在推动人工智能技术的发展和应用，进一步降低技术门槛，让更多的开发者和企业能够参与到人工智能的研发和应用中来。MIT开源许可的宽松性，使得开发者可以更加自由地使用和修改「Phi-2」，从而推动人工智能技术的创新和发展。
此次更新的MIT许可不仅允许商业使用，还允许分发和修改，这为开发者提供了更多的可能性。他们可以根据自己的需求对「Phi-2」进行修改，并且可以将修改后的版本分发给其他人使用。此外，私人使用也是被允许的，这意味着个人用户也可以在遵守许可协议的前提下，使用「Phi-2」进行个人项目的研究和开发。
对于此次开源许可的更新，微软表示，他们希望通过这种方式，推动人工智能技术的普及和应用，让更多的人能够受益于这一技术。他们相信，通过开源的方式，可以促进技术的创新，推动整个行业的发展。
Microsoft has recently announced that it has updated the licensing of its small model ‘Phi-2’ to a more permissive MIT open-source license. This move allows for greater freedom in commercial use, distribution, modification, and personal use of the software.
The purpose of this initiative is to promote the development and application of artificial intelligence technology, further reduce the entry barrier, and enable more developers and enterprises to participate in the research, development, and application of artificial intelligence. The permissiveness of the MIT open-source license allows developers to use and modify ‘Phi-2’ more freely, thereby promoting innovation and development in artificial intelligence technology.
The updated MIT license not only permits commercial use but also allows for distribution and modification, providing developers with more possibilities. They can modify ‘Phi-2’ according to their needs and distribute the modified version to others. In addition, personal use is also permitted, meaning that individual users can also use ‘Phi-2’ for personal research and development, provided they comply with the terms of the license agreement.
In response to the update of the open-source license, Microsoft stated that they hope to promote the popularization and application of artificial intelligence technology through this approach, allowing more people to benefit from this technology. They believe that open-source licensing can foster innovation and promote the development of the entire industry.
【来源】https://the-decoder.com/microsofts-mini-llm-phi-2-is-now-open-source-and-allegedly-better-than-google-gemini-nano/
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