中国人工智能企业元象近日宣布，推出无条件免费商用的开源大模型XVERSE-Long-256K，标志着大模型应用正式步入“长文本时代”。这一模型支持输入长达25万汉字的文本，并提供了详尽的手把手训练教程，旨在助力广大中小企业、研究者和开发者尽早实现“大模型自由”。
XVERSE-Long-256K的开源特性允许用户无限制地使用和修改该模型，为创新性文本处理和生成应用提供了广阔的空间。其上下文窗口长度达到256K，大幅超越了市面上同类产品的性能。这一突破意味着模型能够理解和生成更加复杂和连贯的文本，为自动写作、机器翻译、对话系统等场景带来革命性的改进。
元象的这一举措，不仅体现了中国在全球人工智能领域的创新领导力，也显著降低了技术门槛，让更多的企业和研究者能够利用先进的人工智能技术。此前，大模型的商用通常受到高昂成本和复杂技术获取的制约。如今，通过简单的教程，任何开发者都可以训练和部署属于自己的大模型，探索人工智能在文本处理方面的无限可能。
英文翻译：
Chinese artificial intelligence company Yuanxi has recently announced the release of the open-source large model XVERSE-Long-256K, which is freely available for commercial use. This marks the official entry of large model applications into the “long text era.” The model supports input of up to 250,000 Chinese characters, and comes with detailed hands-on training tutorials, aiming to assist a vast number of SMEs, researchers, and developers in achieving “large model freedom” as early as possible.
The open-source nature of the XVERSE-Long-256K allows users to use and modify the model without any restrictions, providing ample space for innovative text processing and generation applications. Its context window length of 256K significantly surpasses the performance of similar products in the market. This breakthrough means that the model can understand and generate more complex and coherent text, bringing revolutionary improvements to scenarios such as automatic writing, machine translation, and dialogue systems.
This move by Yuanxi not only demonstrates China’s leadership in the global field of artificial intelligence but also significantly lowers the technological threshold for more businesses and researchers to utilize advanced artificial intelligence technology. Previously, the commercial use of large models was often hindered by high costs and complex access to the technology. Now, with simple tutorials, any developer can train and deploy their own large models, exploring the boundless possibilities of artificial intelligence in text processing.
【来源】https://mp.weixin.qq.com/s/R8ewi1NsAK9Qwh0e7UyyBw
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