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Tencent Cloud has announced the launch of the DeepSeek-V3-0324 model API, allowing businesses and developers to directly access and utilize this latest model via Tencent Cloud for stable and high-quality service. Additionally, Tencent Cloud's large model knowledge engine has integrated the new DeepSeek-V3 model. Through the platform's built-in RAG (Retrieval-Augmented Generation) and workflow capabilities, users can quickly build customized AI applications.

Following the release of the official Tencent HunYuan T1 last week, many users have been eager to know when this new version would be available on Yuanbao. In the latest news, Tencent officially announced that the official version of HunYuan T1 and the latest version of DeepSeek V3 are now available, bringing users a brand-new experience. HunYuan T1 is Tencent's self-developed deep thinking model, and compared to the previous T1 Preview version, it has undergone comprehensive upgrades. The new version not only improves speed and performance but also significantly enhances overall effectiveness, achieving second-level response times, and...

Tencent Yuanbao announced a major update to its two models, releasing the official version of HunYuan T1 and the latest DeepSeek V3-0324. This update brings users more powerful AI capabilities, providing comprehensive support for both in-depth thinking and rapid answer generation.

Recently, the domestic large model DeepSeek V3 has drawn industry attention due to its outstanding performance in the AI arena. As the only open-source model to break into the top ten, it not only surpassed o1-mini but even exceeded Claude 3.5 Sonnet in various fields, including programming and mathematics. To verify its actual capabilities, a series of comparative tests were conducted. In the basic comprehension ability test, both models exhibited different characteristics. Faced with the Chinese riddle 'Xiaoming's mother has three children', DeepSeek V3 performed...

The highly anticipated Deepseek V3 is finally open source! This brand-new AI model has achieved significant breakthroughs in multilingual programming capabilities, even outperforming competitors like Claude 3.5 Sonnet V2 in the aider multilingual programming assessment, attracting widespread attention in the industry. It is reported that Deepseek V3 has made a qualitative leap in performance compared to previous versions. Deepseek V2.5 had a success rate of only 17% in the aider assessment, while V3 has surged to 4.