RiiidAI Model Sheep-duck-llama-2 Ranks First Among Large Language Models on HuggingFace

Hugging Face Adds Handy Feature: One-Click Check for Compatible Models

Hugging Face, a leading open-source AI community platform, has launched a highly anticipated new feature: users can quickly see which machine learning models their computer hardware can run via platform settings. Users simply add their hardware information, such as GPU model, to their Hugging Face profile settings (located at the top right corner: Profile Icon > Settings > Local Apps and Hardware).

Alibaba's Qwen-2.5-Omni Tops Global Open-Source Model Leaderboard

DeepSeek-V3-0324 Released: Free for Commercial Use, Runs on Consumer-Grade PCs!

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.

DeepSeek-V3-0324 Quietly Released: A Low-Key Upgrade that Ignites the Tech World

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...

Microsoft Unveils GeoMap-Bench to Advance Intelligent Understanding of Geological Maps

In geoscience, geological maps are crucial tools for understanding the Earth's surface and subsurface structures. However, interpreting these complex diagrams requires specialized knowledge and extensive experience. To enhance intelligence in this field, Microsoft Research Asia recently introduced GeoMap-Bench, a new benchmark dataset for evaluating the performance of multimodal large language models (MLLMs) in understanding geological maps. The launch of GeoMap-Bench marks a significant step forward in AI applications for geological map interpretation. Microsoft researchers, in collaboration with...

Ant Group Unveils Two Innovative MoE Large Language Models with Significantly Reduced Training Costs

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.

Tuosda X5 Platform: Breaking Down Data Barriers Between Robots and Large Language Models

In today's rapidly advancing AI landscape, Tuosda recently revealed innovative features of its next-generation robot control platform—the X5 Platform—during its investor relations event. The X5 Platform utilizes a cloud-edge-end architecture, deeply integrating high-performance computing with intelligent robot control to achieve real-time data transmission and efficient execution of intelligent decisions. This platform not only complements traditional robotics technology but also bridges the gap between embodied intelligence and large language model applications. Specifically, the X5 Platform...

Survey: 52% of US Adults Have Used AI Chatbots

A survey by Elon University shows that 52% of US adults have used AI large language models like ChatGPT, Gemini, Claude, and Copilot. The January survey, conducted by the Imagining the Digital Future initiative at Elon University in North Carolina, polled 500 respondents. Of those who have used AI, 34% reported using large language models at least once a day. ChatGPT was the most popular, used by 72% of respondents; Google's G...

CMU Team Introduces Meta Reinforcement Fine-Tuning: A Novel Paradigm for Enhancing Large Language Model Reasoning

Large Language Models (LLMs) are constantly evolving in the field of artificial intelligence. Researchers from Carnegie Mellon University (CMU) and HuggingFace recently introduced a new method called Meta Reinforcement Fine-Tuning (MRT). This method aims to optimize the computational efficiency of LLMs during testing, particularly excelling in solving complex reasoning problems. Studies show that existing LLMs struggle with...

Remade AI Open Sources 8 Wan2.1 Effect LoRAs, Igniting a New Wave in AI Video Creation

Remade AI has released 8 open-source LoRAs for Wan2.1, significantly enhancing AI video creation capabilities and sparking excitement within the community.