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Microsoft open-sources the Phi-4-mini-flash-reasoning model, specifically designed for edge devices, with inference efficiency improved by 10 times. It uses an innovative SambaY architecture to achieve efficient memory sharing, showing outstanding performance in long text generation and mathematical reasoning. Benchmark tests show its excellent long context understanding ability, with a Phonebook task accuracy rate of 78.13%. This model is suitable for educational and research fields and can run on a single GPU.

Tencent open-sourced 'Hunyuan-A13B', an 80B-parameter MoE model with dynamic inference (130B active params). Supports 256K context, trained on 20T tokens. Achieves 87.3% on AIME2024 math, but comparisons show version disparities.....

Recently, Hon Hai Precision Industrial Co., Ltd. (commonly known as Foxconn) submitted a trademark registration application for "FoxBrain" to the Trademark Office of the National Intellectual Property Administration. This AI inference large model is not only Foxconn's first attempt but also the first AI model of this type in Taiwan. According to public information, the international classification of this trademark is scientific instruments, and it is currently in the "waiting for substantive examination" status. "FoxBrain" is an AI inference large model launched by the Hon Hai Research Institute, covering data analysis

The plan's advancement has triggered dissatisfaction among developers. According to VentureBeat, OpenAI's current API deprecation involves the GPT-4.5 Preview version, which is an intermediary model launched between GPT-4 and GPT-5. Multiple developers have stated that this sudden change has disrupted their development plans, forcing significant adjustments to applications already built based on this API. A developer who wished to remain anonymous commented: We understand the necessity of technological iteration, but the lack of sufficient buffer time in the schedule has brought additional pressure to development teams.

Recently, MiniMax announced the launch of its new model MiniMax-M1. As the world's first open-source large-scale hybrid architecture inference model, it demonstrates outstanding performance in complex production scenarios, becoming a leader among open-source models. MiniMax-M1 not only surpasses domestic closed-source models but also approaches the level of the most advanced overseas models while maintaining the highest cost-effectiveness in the industry. A notable feature of MiniMax-M1 is its support for up to 1 million context inputs, comparable to the closed-source model G

French AI startup Mistral AI announced on Wednesday its full entry into the AI infrastructure sector, positioning itself as a strong response to American cloud giants from Europe. At the same time, the company also launched a new inference model that can rival the most advanced systems of OpenAI. This Paris-based company released Mistral Compute, an integrated AI infrastructure platform developed in collaboration with NVIDIA (Nvidia), designed to provide European enterprises and governments with alternative solutions to摆脱对

The French AI lab Mistral recently announced the official release of its first inference model series -- Magistral. The series includes two versions: Magistral Small and Magistral Medium, aimed at enhancing logical reasoning capabilities in disciplines such as mathematics and physics. Mistral stated that the Magistral series models solve problems step by step to improve the consistency and reliability of results.

Recently, tech giant NVIDIA, in collaboration with the Massachusetts Institute of Technology (MIT) and the University of Hong Kong, released a new framework called Fast-dLLM. This innovative framework aims to significantly increase the inference speed of diffusion models (Diffusion-based LLMs), up to 27.6 times, providing stronger technical support for AI applications. The challenges and opportunities of diffusion models make them strong competitors to traditional autoregressive models.

The global leader in open-source solutions, Red Hat, recently announced the launch of the revolutionary open-source project LLM-D, specifically addressing the urgent needs for large-scale inference in generative AI. The project, founded by industry giants such as CoreWeave, Google Cloud, IBM Research, and NVIDIA, aims to meet the most stringent production service-level goals through breakthrough technologies that enable cloud-based large language model inferencing.