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NetEase Youdao's self-developed RG engine

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發表於 2024-3-7 13:26:42 | 只看該作者 回帖獎勵 |倒序瀏覽 |閱讀模式
Kuaishou issued a "Heart-warming New Year's Gift for Kuaishou Employees" notice on Tuesday: Employees can receive "Heart-warming Shopping Gold" of up to RMB , based on their age, and the shopping gold can be used in Kuaishou Mall. Cheng Yixiao, chairman of Kuaishou, revealed in an internal letter that in , Kuaishou achieved its first overall profit at the group level since the company went public. In addition to distributing "heart-warming shopping gold" to employees,


Kuaishou Mall will also open a three-day "employee in-app purchase exclusive venue" on October , , where employees can buy a variety of new year goods at more favorable prices. Product News Apple will launch a special version of the EU App St Argentina WhatsApp Number ore. Well-known technology reporter Mrk Gurmn said that Apple is expected to launch an update in the "next few weeks" to provide sideloading functionality for European iPhone and iPad users. As a result of these changes, the App Store will be split in two, with one version for EU countries and another for the rest of the world. The European Union's new regulation, the Digital Markets Act DM, requires Apple to allow developers to publish their iOS apps outside of the App Store. Third-party apps will also be allowed to use third-party payment platforms for in-app purchases.



Apple's software vice president Federighi admitted last year that the company would have to comply with EU law.  Qnything is officially open source. On September , NetEase Youdao announced that its self-developed knowledge base Q&A engine Qnything is officially open source. In addition to being able to call cloud large model services, it also supports pure local deployment. The system supports multiple document formats such as word, ppt, excel, pdf, pictures, etc. The main principle of Qnything is based on retrieval-enhanced generation RG, which can use retrieval of external content to enhance the accuracy, professional capabilities, and personalization of large language models.


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