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Tencent Yuanbao announced the official launch of its latest V3 version, bringing significant feature upgrades. The core highlight of this update is the integration of the advanced HunYuan T1 and DeepSeek V3-0324 models. This significantly enhances Yuanbao's capabilities in code generation, structural understanding, and language response. Users only need to simply describe their needs.

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.

Chinese AI startup DeepSeek quietly released its large language model, DeepSeek-V3-0324, sending ripples through the AI industry. The model, weighing in at 641GB, appeared on Hugging Face, showcasing DeepSeek's understated yet impactful style—a release with only an empty README file and model weights. Licensed under MIT, the model is free for commercial use and can run on consumer-grade hardware, such as a Mac equipped with an M...

DeepSeek quietly released its latest large language model, DeepSeek-V3-0324, causing a stir in the AI industry. This massive 641GB model appeared on the Hugging Face model hub with almost no prior announcement, continuing the company's understated yet impactful release style. Performance leaps rivaling Claude Sonnet3.5 make this release particularly noteworthy.

On March 24, 2025, without any prior announcement, the Chinese AI research institution DeepSeek released the latest version of its flagship language model, DeepSeek-V3-0324, on the Hugging Face platform. This understated yet powerful update quickly sparked heated discussions within the tech community, with numerous developers and AI enthusiasts sharing their initial experiences and expectations. The following is an in-depth report compiled from feedback within the tech community. I. Mysterious Release: A Quiet Debut with 685 Billion...

Li Auto announced the official launch of the web version of its AI assistant, Li Xiang Tongxue. Users can now access this intelligent assistant on their computers. This move signifies Li Auto's further expansion of its intelligent service ecosystem, achieving cross-scenario intelligent service coordination.

Silicon-Based Flow's official WeChat account announced that, effective immediately, the DeepSeek-R1 & V3 APIs on the SiliconCloud platform now support batch inference (BatchInference). Users can send requests to SiliconCloud via the batch API, unaffected by real-time inference rate limits, with task completion expected within 24 hours. Compared to real-time inference, DeepSeek-V3 batch inference pricing is reduced by 50%. From March 11th to March 18th, DeepSeek-R1 will enjoy a 75% price reduction.

SiliconCloud's platform now officially supports batch inference for DeepSeek-R1 and V3 APIs. Users can submit requests via batch APIs to process large datasets within 24 hours, overcoming the limitations of real-time inference rates. A key highlight is the significant price reduction; DeepSeek-V3 batch inference is substantially cheaper than real-time inference.

DeepSeek launched an official account on Zhihu and published a technical article, "DeepSeek-V3/R1 Inference System Overview," detailing its model inference system optimization and cost-profit margin information for the first time, marking the end of the highly anticipated DeepSeek Open Source Week. The article highlights two key optimization goals for the DeepSeek-V3/R1 inference system: higher throughput and lower latency. To achieve these goals, DeepSeek employs large-scale cross-node expert parallelism (EP) technology, although...

DeepSeek announced a significant price adjustment for API calls during a promotional period. DeepSeek-V3 will be discounted to 50% of its original price, while DeepSeek-R1 will be reduced to a remarkable 25%. This initiative aims to encourage users to leverage platform resources during off-peak hours, enjoying more cost-effective and seamless service.

Recently, SuperMap Software announced on its interactive platform that it has successfully completed the integration and adaptation of the DeepSeek-V3 and R1 series large models. This development marks another breakthrough for SuperMap Software in the application of intelligent technology. As a result of this innovation, the SuperMap Copilot Beta version has officially been launched and made available to customers. This product not only fully demonstrates the powerful capabilities of large models but also possesses significant advantages in terms of 'diversity, speed, quality, and cost-effectiveness,' showcasing SuperMap Software's commitment to advancing smart production.

On February 12, Alibaba Cloud's Bailian platform launched several heavyweight AI models, including DeepSeek-V3, DeepSeek-R1, and DeepSeek-R1-Distill-Qwen-32B, among six models in total, further enriching its AI model matrix. At the same time, Tongyi Lingma also announced the launch of a new model selection feature, supporting the full-version 671B models of DeepSeek-V3 and DeepSeek-R1 based on the Bailian platform, injecting new vitality into the field of AI programming.

Recently, Keda GuoChuang announced on its interactive platform that with the rapid development of artificial intelligence technology, its launched 'Nebula Model' has been fully integrated and adapted to the DeepSeek-R1 and V3 models. This initiative marks an important progress in Keda GuoChuang's exploration of large models in the industry and vertical fields, achieving practical applications across multiple industrial scenarios. Keda GuoChuang's Nebula Model is not just a technical upgrade but also provides users with enhanced capabilities by integrating several domestic open-source large models such as DeepSeek and Tongyikianwen.

On February 8, Tencent Cloud announced a major innovation by integrating the DeepSeek R1 and V3 original models via API into its large model knowledge engine, supporting online search functionality. This move makes Tencent Cloud the first cloud service provider in the country to achieve such capability, providing a new solution for the rapid construction and deployment of enterprise-level AI applications.

Tencent Cloud announced the completion of deep integration with the DeepSeek large model, officially launching the API interfaces for DeepSeek-R1 and the V3 original model, and innovatively integrating its self-developed large model knowledge engine while simultaneously opening up internet search capabilities. This move makes Tencent Cloud the first domestic cloud vendor to achieve a three-in-one service of 'Model API + Knowledge Engine + Real-Time Search,' marking the official entry of large model applications into the era of dynamic knowledge enhancement.

The next-generation AI application building platform 'Kouzi' has officially announced support for DeepSeek's R1 and V3 models, offering free trials to all users. It is reported that the Kouzi platform aims to assist users in rapidly building various bots based on large models and publishing them to social platforms, messaging apps, or websites.