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Developed by TNG Technology Consulting, the DeepSeek R1T Chimera model has officially launched on the OpenRouter platform, providing global developers with efficient and powerful inference capabilities. This new open-source model combines the excellent inference capabilities of DeepSeek R1 with the high performance of V3-0324, marking another significant breakthrough in the balance of performance and efficiency in open-source AI technology. The following is compiled by AIbase.

Meta has released its latest open-source AI model, Llama 4, marking another significant advancement in the field of artificial intelligence. Llama 4 comes in two versions, Scout and Maverick, designed to enhance AI model capabilities and performance. Meta states that Llama 4 is a multimodal large language model capable of processing various data types, including text, images, video, and audio, and can freely convert between these formats. Notably, the Llama 4 series is the first...

Ces lunettes intelligentes à véritable IA adopteront une architecture à double puce et intégreront un appareil photo dont les performances devraient rivaliser avec celles des Meta Ray-Ban. Elles pourront non seulement percevoir le monde réel grâce à leur objectif, mais aussi proposer une expérience interactive riche et variée grâce à l’IA. Par exemple, les utilisateurs pourront identifier des objets, reconnaître automatiquement les restaurants et obtenir instantanément des informations pratiques telles que les prix et les notes, une fonctionnalité similaire au système de vision intelligent d’Apple.

Ant Group's Ling team recently published a preprint on arXiv titled "Every FLOP Matters: Scaling a 300-billion parameter Mixture-of-Experts LING model without high-end GPUs," detailing two novel large language models: Ling-Lite and Ling-Plus. These models incorporate several innovations enabling efficient training on low-performance hardware, significantly reducing training costs.

ByteDance's Doubao large model team recently announced a breakthrough in addressing key bottlenecks in Mixture-of-Experts (MoE) architecture, open-sourcing a significant optimization technology called COMET. This technology dramatically improves large model training efficiency, achieving a remarkable 1.7x speedup and a 40% reduction in training costs. Image Note: Image generated by AI, image licensing provider Midjourney. COMET has been deployed in ByteDance's multi-thousand-GPU cluster training, resulting in millions of GPU hours saved.

DeepSeek announced its second-day product of the open-source week: the first open-source EP communication library for MoE models, enabling full-stack optimization for mixed-expert model training and inference. DeepEP is a high-efficiency communication library specifically designed for Mixture-of-Experts (MoE) and Expert Parallelism (EP). It aims to provide high-throughput and low-latency many-to-many GPU kernel communication, commonly known as MoE routing and aggregation. DeepEP not only supports low-precision operations such as FP8 but also integrates with the DeepSeek-V3 paper.

In the field of artificial intelligence, Mistral's recently released AI assistant Le Chat has garnered widespread attention. Just two weeks after its launch, the app achieved an impressive milestone — surpassing one million downloads. This achievement has sparked excitement not only in its home country of France but also led it to rapidly rise to the top of the free app download charts in the iOS App Store. French President Emmanuel Macron mentioned Le Chat in a recent television interview, encouraging the public to download this app developed by Mistral.

The ByteDance Doubao large model team announced today the successful development of a new sparse model architecture called UltraMem. This architecture effectively addresses the high memory access issues during the inference of MoE (Mixture of Experts) models, improving inference speed by 2 to 6 times compared to MoE, and reducing inference costs by up to 83%. This groundbreaking advancement opens a new path for efficient inference of large models. The UltraMem architecture successfully resolves the memory bottleneck during inference of MoE architectures while maintaining model performance. Experimental results show that the parameters and activation conditions are the same.

Mistral AI recently launched a new chatbot app 'Le Chat' on the Apple App Store. This app enables users to easily engage in natural language conversations, perform real-time web searches, analyze documents, and generate images, among other features. Currently, users can download the basic version for free and enjoy essential chat functionalities; additionally, users can opt for a Pro subscription at $14.99 per month to experience more advanced models. Mistral AI is a company that specializes in...

ByteDance officially launches its latest Doubao large model 1.5 Pro (Doubao-1.5-pro), which demonstrates outstanding comprehensive capabilities in various fields, successfully surpassing the well-known GPT-4o and Claude3.5Sonnet in the industry. The release of this model marks an important step forward for ByteDance in the field of artificial intelligence. Doubao 1.5 Pro adopts a novel sparse MoE (Mixture of Experts) architecture, utilizing a smaller set of activation parameters for pre-training. This design's innovation...

Mistral has recently announced a content agreement with Agence France-Presse (AFP) aimed at improving the answer accuracy of its chatbot product, Le Chat. This collaboration marks Mistral's first agreement with a media organization, signifying its commitment to showcase diverse products to users beyond large language models. Under the agreement, Le Chat will have access to approximately 2,300 news articles published daily by AFP, covering six languages: Arabic, English, French, and German.

As a new wave of competition arises in the global AI video generation field, Chinese tech company MiniMax's 'Haibao AI' has made a strong impression with its remarkable performance. Data shows that this AI product, which was launched in April of this year, achieved a staggering 867.41% increase in visit volume in September, rapidly becoming the top product in global AI visit growth rankings. The core competitiveness of this product lies in its underlying technological support. MiniMax built Haibao AI based on the trillion-parameter MoE model abab-6.5, allowing it to compete with GPT-4.

Today, OPPO announced that it has successfully applied the Expert Mixture of Experts (MoE) architecture to mobile devices for the first time globally. This groundbreaking advancement significantly enhances AI processing efficiency, opening new pathways for the further development of terminal AI technologies and laying the foundation for the deep integration of AI and mobile hardware. As AI technology rapidly advances, an increasing number of AI tasks need to be completed on terminal devices. However, large AI models often require powerful computing capabilities, which poses a huge challenge for mobile devices with limited hardware resources. This breakthrough aims to overcome this limitation.

Shenzhen Yuanxiang Information Technology Co., Ltd. recently announced the successful release of China’s largest Mixture of Experts (MoE) open source large model — XVERSE-MoE-A36B. The launch of this model marks a significant advancement in China’s AI field, elevating domestic open source technology to an internationally leading level.

At the 2024 Tencent Global Digital Ecosystem Conference, Tencent's Vice President and Head of Cloud Business, Qiu Yuepeng, announced the official launch of the Tencent Hunyuan Turbo large model. This new generation of large models is designed based on the MoE (Mixture of Experts) architecture, achieving a doubling in inference efficiency with a 100% improvement compared to the previous generation, while significantly reducing inference costs by 50%. Additionally, Hunyuan Turbo also demonstrates outstanding performance in decoding efficiency, improving by 2.