Why is the Open Source Large Model Dominating the Rankings Developed by Arabs?

Security Risks! Ollama Large Model Tool Allegedly Contains Critical Vulnerabilities

DeepSeek Open Source Week Day 1: Open Source Large Model Accelerating Tool FlashMLA Achieves Decoding Performance of 3000GB/s

On the first day of DeepSeek Open Source Week, we officially released our latest technological achievement, FlashMLA, an efficient Multi-Layer Attention decoding kernel specifically designed for NVIDIA Hopper architecture GPUs. This technology is optimized for variable-length sequence scenarios and can significantly enhance the inference performance of large models. The core technical features of FlashMLA include comprehensive support for BF16 precision and a paged key-value cache with a block size of 64.

Shenzhou Information Introduces Domestic Open Source Large Model DeepSeek

Global Open Source Large Model Rankings Released, Alibaba Tongyi Qwen Takes the Lead

Recently, Huggingface, the world's largest open source AI community, released the latest Open LLM Leaderboard. The results show that all ten of the top-ranked open source large models are derivative models that have been fine-tuned based on Alibaba Tongyi Qwen's (Qwen) open-source model. This achievement marks Qwen's dominant position in the open-source AI field and further enhances its global influence. The Open LLM Leaderboard is widely...

Domestic Open Source Large Model DeepSeek R1 Released, Performance Surpasses o1 Model with 90% Cost Reduction

Recently, the DeepSeek team in China has launched its latest open-source large model R1, which has gained widespread attention. The performance of the R1 model is exceptionally outstanding, surpassing OpenAI's o1 model in multiple tests, especially excelling in assessments related to mathematics and programming. In the latest AIME2024 test in the United States, R1 scored 79.8, outperforming o1's score of 79.2. In the MATH-500 test, R1 achieved a score of 97.3, again leading over o1.

Alibaba Releases Price Cuts on Three Major Models of Tongyi Qwen: Up to 85% Off

The 2024 Yunqi Conference opened grandly in Hangzhou, with Alibaba Group CEO and Alibaba Cloud Intelligence Group Chairman and CEO Wu Yongming delivering a keynote speech. During the conference, Alibaba announced a series of groundbreaking releases, including the launch of the next-generation open-source model Qwen2.5, which outperforms Llama405B and firmly holds the position of the 'strongest open-source large model'.

Yuanxiang Releases MoE Open Source Large Model XVERSE-MoE-A36B with 36 Billion Active Parameters

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.

Jensen Huang and Mark Zuckerberg Promote Open Source AI Large Models with Coat Swap

At the 51st SIGGRAPH conference, NVIDIA CEO Jensen Huang and Meta CEO Mark Zuckerberg engaged in a fireside chat discussing the future of artificial intelligence and simulation. During their conversation, Huang praised Meta's open source large model strategy and emphasized the importance of open source for AI development. They showcased their friendship and shared vision for advancing the industry through a creative 'coat swap' ceremony.

Ali Qwen-2 Tops Global Open Source Large Model Ranking

China's technology giant Alibaba's latest open-sourced Qwen-2-72B fine-tuned version has topped the global open source large model ranking.

DBRX Takes the Throne of Open Source Large Models Surpassing GPT-3.5 in Programming, Math, and More

The latest open-source large language model, DBRX, has become the industry's new darling with its astonishing 132 billion parameters. This model has surpassed leading open-source models in language understanding, programming, and mathematics, achieving breakthroughs in efficiency. Both the base and fine-tuned versions of DBRX have been released, showcasing excellent performance and training efficiency, setting a new benchmark in the open-source large model field. DBRX has excelled in comprehensive benchmark tests, particularly demonstrating strong capabilities in programming and mathematics, making it competitive with closed-source models. The emergence of DBRX brings new vitality to the open-source large model domain.