Tencent's Big Model App Yuan Yuan Released Version 2.0: Based on New Generation Big Model Hybrid Turbo, Built-in AI Searching

fromTencentHybrid was informed thatTencent Yuanbao Version 2.0 is officially launched today, bringing upgrades to the interface, model, and experience.

Tencent's Big Model App Yuan Yuan Released Version 2.0: Based on New Generation Big Model Hybrid Turbo, Built-in AI Searching

According to the introduction, the upgrades to the interface include updating the dialog list to support historical use of asset deposition, so that users can more easily find historical dialogs and used intelligences; new AI application exclusive board, selected AI SearchThe AI search function is also available in five major applications: AI Reading, Creative Painting, Inspiration Gallery and AI Photo, as well as the "Application Square", which provides a rich variety of intelligent bodies. In addition, the AI search function, in addition to the WeChat public number, is alsoUpgraded integration of WeChat video number, QQ music, etc.information resources to provide smarter and more convenient search services.

At the same time, the hybrid model architecture has also been upgraded: based on the new generation of large model "hybrid turbo", the performance has been greatly improved, and the efficiency of training and inference has been doubled; it supports the comprehension and analysis of images with arbitrary aspect ratio and up to 7K resolution; and in the case of text-to-source diagrams, the semantic comprehension, picture texture and realism will also see a comprehensive improvement.

In addition, Yuanbao 2.0 will be integrated into ecological products such as Tencent Document, Computer Butler and Sogou Input Method. For example, after using "AI Writing" to generate an article in Tencent Yuanbao, it will be possible to use the "AI Writing" function to create an article.Click "Go to Tencent Document Editing" to seamlessly transfer to the Tencent Document Editing session.The AI Documentation Assistant is then used to optimize the adjustments.

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