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A groundbreaking new AI technology allows language models to search the internet for information! Not only has this resulted in a 41% increase in exam scores, but it also unlocks a new level of reasoning and search capabilities. Learn about this academic 'cheat code' evolution and why you might want to get your AI a library card! Paper: https://arxiv.org/abs/2503.09516 Code: https://github.com/PeterGriffinJin/Search-R

Hugging Face recently released its top model leaderboard for the second week of April 2025, encompassing various modalities such as text generation, image generation, and video generation. This highlights the rapid iteration and diverse applications of AI technology. According to AIbase, the models featured in this week's leaderboard not only showcase the innovative vitality of the open-source community but also reflect technical trends such as low-precision training and multi-modal generation. Below is an analysis of the leaderboard highlights, with professional insights provided by the AIbase editorial team. Text Generation Models: Balancing Efficiency and Specialization

Hugging Face announced the launch of the open-source humanoid robot, Reachy2, through the acquisition of French startup Pollen Robotics. This news sparked significant discussion on social media and within the AI community, considered a major milestone in the convergence of humanoid robotics and generative AI. Designed as a lab partner for AI research and education, Reachy2's open-source nature, advanced capabilities, and human-centric design have quickly made it a focus for top labs globally.

On April 15th, Hugging Face, the renowned open-source large language model platform, announced its acquisition of Pollen Robotics, marking its official entry into the physical robotics field. While specific transaction terms remain undisclosed, the acquisition will bring approximately 20 Pollen Robotics employees to Hugging Face. This represents the company's largest personnel acquisition to date, signifying its ambition in expanding its business areas. Hugging Face's co-founder...

Hugging Face, a leading AI development platform, recently announced the acquisition of Pollen Robotics, a French humanoid robotics startup, marking its strategic foray into the robotics sector. While the financial details of the deal remain undisclosed, the acquisition has generated significant attention. Founded in 2016 by engineers Matthieu Lapeyre and Pierre Rouanet, Pollen Robotics' flagship product, Reachy2, is an advanced humanoid robot already utilized at Cornell...

Hugging Face, the AI development platform, has announced the acquisition of French robotics startup Pollen Robotics for an undisclosed sum. This marks Hugging Face's first foray into hardware and aims to promote the global adoption and development of open-source robotics. Pollen Robotics, founded in 2016 and based in Bordeaux, France, is known for its open-source humanoid robot, Reachy2. Priced at approximately $70,000, Reachy2 has been adopted by institutions such as Cornell University.

Innovation in AI-powered image generation continues at a rapid pace. Hugging Face recently launched VisualCloze, a new tool utilizing Visual In-Context Learning, marking a significant advancement in general image generation frameworks. AIbase, through analysis of recent social media activity, provides an in-depth look at this tool's highlights and potential, offering readers a firsthand report.

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).

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...

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

Recently, a Chinese AI agent platform called Manus has garnered significant attention online. Since its preview launch last week, the platform has rapidly attracted a large user base, with Hugging Face's Head of Product calling it "the most impressive AI tool I've ever seen". Meanwhile, AI policy researcher Dean Ball described Manus as "the most sophisticated computer AI". Manus's official Discord server amassed...

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...

Recently, cybersecurity researchers discovered two malicious machine learning models that were uploaded quietly to the renowned machine learning platform HuggingFace. These models utilized a novel technique, successfully bypassing security detection through 'corrupted' pickle files, raising concerns. Karlo Zanki, a researcher at ReversingLabs, pointed out that the beginning of the pickle files extracted from these PyTorch format archives suggests that

Hugging Face, in collaboration with Physical Intelligence, has launched the groundbreaking robotic foundation model Pi0. This is the first open-source model capable of directly transforming natural language commands into robotic actions, marking a new era in robotics technology. The Pi0 model has been trained on seven different robotic platforms and has mastered 68 unique tasks, enabling it to perform complex operations ranging from folding clothes to tidying up tables. The model utilizes innovative flow matching technology to generate smooth real-time actions at a frequency of 50Hz.

Recently, Hugging Face partnered with Physical Intelligence to launch 'Pi0' (Pi-Zero), the first foundational model that directly converts natural language commands into physical actions. This innovative release has garnered widespread attention, with Hugging Face's Chief Research Scientist Remi Cadene announcing on social media, 'Pi0 is the most advanced visual-language action model that can translate natural language commands into autonomous behaviors.'