On March 7th, QQ Browser announced the launch of its AI Q&A feature—Yuanbao Quick Answer—designed to provide users with faster and more concise search results. This feature leverages Tencent's HunYuan 'Fast Thinking' model Turbo S, incorporating search enhancement technology to quickly retrieve real-time information from across the web, including high-quality content from official accounts, and automatically extracts key information to deliver clear and concise answers to users.

Tencent has announced the open-sourcing of its newly developed image-to-video generation framework, HunyuanVideo-I2V. This release follows the successful open-sourcing of HunyuanVideo and aims to further advancements within the open-source community. HunyuanVideo-I2V incorporates cutting-edge video generation technology, enabling the transformation of static images into dynamic video content, offering creators expanded possibilities. HunyuanVideo-I2V leverages a pre-trained...

On February 27, 2025, Tencent officially released HunYuan Turbo S, a next-generation fast-thinking model, marking a significant breakthrough in response speed and performance optimization for large language models. Unlike traditional slow-thinking models such as Deepseek R1 and HunYuan T1, HunYuan Turbo S achieves near-instantaneous responses, significantly improving the speed of answer generation.

Recently, Tencent's Hunyuan Video Model has officially begun recruiting testing partners on Platform X, marking a critical testing stage for this cutting-edge AI video generation technology. According to official sources, there is a high probability that the model will be open-sourced after the testing concludes, contributing its technological achievements to the global AI community. The Hunyuan Video Model is an important innovation by Tencent in the field of AI video generation, boasting over 13B parameters, making it one of the largest video generation models among open-source models.

According to reports, the core of Tencent Yuanbao's recent upgrade lies in the application of the "Hunyuan + DeepSeek" dual-mode aggregation technology. In the past, DeepSeek mainly played the role of information extraction, similar to a "scanner." However, with the support of Tencent's Hunyuan multimodal technology, DeepSeek can now truly understand the details, atmosphere, and even hidden meanings within images. This transformation enables Tencent Yuanbao to "comprehend" images and provide its own analysis and interpretation.

On February 20, Tencent Licai Tong announced a significant upgrade: it has simultaneously integrated the full version of the DeepSeek-R1 model and the Tencent Hunyuan large model, marking an important step for this wealth management platform serving hundreds of millions of users in the field of AI financial services. After this upgrade, Tencent Licai Tong will combine its professional financial information data, WeChat public account articles, and other resources with large model capabilities to provide users with more professional and real-time financial services. Users can quickly experience the new features through the search box on the app's homepage or the stock market entry. Image source note: The image was generated by AI.

Tencent has announced that its deep thinking model 'Hunyuan T1' is now officially open to all users, who can experience and test the model through the Tencent Yuanbao platform. Following its gray testing phase, Hunyuan T1 received widespread attention and positive feedback from users. In response to user demand, Tencent has rapidly deployed resources to fully open Hunyuan T1, allowing unlimited access for all users.

Recently, Tencent's electronic signature public account announced the launch of a new AI contract drafting feature. This feature is strongly supported by two AI models, Hunyuan and DeepSeek, and aims to help users generate contracts with a single click, greatly facilitating the contract needs in daily life. For example, Xiaowang, who has just entered the workforce, and his friends decided to rent a house together, but they have little understanding of the contract terms. To protect his rights, Xiaowang thought of using the power of AI to generate a co-rental contract. He only needs to input to the AI, 'Please help me write a contract.'

Recently, Tencent E-signature's official account announced the upcoming launch of an AI contract drafting feature. This innovative function will leverage Tencent's Hunyuan and DeepSeek large model technologies to provide users with a convenient one-click contract generation service.

Following the integration of DeepSeek R1, Tencent's Hunyuan T1 deep thinking model is currently undergoing a limited grayscale test within Tencent's Yuanbao. Users can choose to use it based on their needs. Tencent recently announced that several of its products have begun to integrate DeepSeek technology, including QQ Music AI Assistant, WeChat AI Search, and Tencent Cloud AI Code Assistant.

Recently, Tencent rolled out an important update for its AI assistant 'Tencent Yuanbao,' introducing two advanced models—Hunyuan T1 and DeepSeek-R1—both of which possess deep thinking capabilities. This upgrade allows users to better tackle complex issues, enhancing efficiency in work and study. Users simply need to download and open Tencent Yuanbao to experience these new features for free. The design of the deep thinking model aims to solve complex tasks, uniquely understanding multiple dimensions of problems and potential logical relationships.

In today's rapid development of Large Language Models (LLM), the training and inference costs of models have increasingly become a focus of research and application. Recently, the Tencent Hunyuan team released an important study that delves into the 'Scaling Laws' of low-bit floating point quantization training, which refers to the principles governing the scale of floating point quantization training. The core of this research lies in exploring how to significantly reduce computational and storage costs without sacrificing performance by lowering the precision of the model.

Recently, Hu Han, former chief researcher of the visual computing group at Microsoft Research Asia, officially joined Tencent, where he will be responsible for the development of the Hunyuan multimodal large model. This news has attracted widespread attention in the industry, and Hu Han's addition is believed to inject new vitality into Tencent's artificial intelligence initiatives. Hu Han obtained his bachelor's degree from Tsinghua University in 2008 and his Ph.D. in 2014, studying under the renowned professor Zhou Jie. His doctoral thesis was awarded the Excellent Doctoral Dissertation Award by the Chinese Association for Artificial Intelligence in 2016, showcasing his academic achievements.

Tencent Cloud recently announced the launch of its AI coding assistant - Tencent Cloud AI Code Assistant. This tool aims to assist programmers in writing code by predicting and providing code suggestions, significantly enhancing development efficiency. The core advantage of this AI code assistant lies in its ability to deeply understand the context of the code, offering more accurate logical and grammatical code completion suggestions, surpassing traditional keyword-matching completion methods. It can also learn and adapt to a programmer's coding style and historical code patterns, providing customized code completions that align more closely with individual habits.

The Sogou Input Method version 12.0 has recently undergone a smart upgrade, introducing a series of new features. The key highlights of this update include AI search, AI quick check, AI companion, magic gestures, and a brand-new visual design. In terms of AI search, version 12.0 of the Sogou Input Method, in collaboration with Tencent's Hunyuan Large Model, enables a feature that allows users to search while typing. Users can quickly obtain search results by simply clicking the magnifying glass icon, significantly improving search efficiency. Additionally, PC users can swiftly gather information through the 'equal sign for word selection' feature, enhancing productivity.

According to AI Frontline news, Liu Wei, an outstanding scientist and one of the heads of Tencent's Hunyuan Large Model technology, has left Tencent. Liu Wei was responsible for the technical development and application practice of the Hunyuan Large Model at Tencent. He has published papers at several international conferences and journals and has received multiple awards. His departure has drawn attention from the industry as he was one of the key figures behind the Hunyuan Large Model at Tencent. The Hunyuan Large Model is a significant part of Tencent's strategy in the field of artificial intelligence, aimed at providing powerful AI capabilities for various application scenarios. It is reported that Liu Wei once stated that Tencent's Hunyuan Large Model.