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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).

Beijing—ByteDance recently released its latest text-to-speech (TTS) model, MegaTTS3, on the Hugging Face open-source AI community. This release has quickly garnered attention from AI researchers and developers worldwide due to its breakthroughs in lightweight design and multilingual support. Based on community feedback and official information, MegaTTS3 is hailed as a significant advancement in speech synthesis. MegaTTS3's core highlights are...

Chinese AI startup DeepSeek quietly released its large language model, DeepSeek-V3-0324, sending ripples through the AI industry. The model, weighing in at 641GB, appeared on Hugging Face, showcasing DeepSeek's understated yet impactful style—a release with only an empty README file and model weights. Licensed under MIT, the model is free for commercial use and can run on consumer-grade hardware, such as a Mac equipped with an M...

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...

Transforming complex documents into structured data has long been a challenging problem in computer science. Previous approaches involved cumbersome multi-model pipelines or massive, hallucination-prone, and expensive multimodal models. However, IBM and Hugging Face have recently introduced SmolDocling, a lightweight 256M parameter open-source Vision-Language Model (VLM)...

Who says toys are just cold plastic? Quchao Toys proudly presents its revolutionary new product—Ai Hugging Meow. This incredibly cute plush toy is powered by cutting-edge AI technology! It can chat with you naturally and fluidly like an old friend, and it can even understand your emotions through multiple sensory inputs, providing an unprecedented intelligent companionship experience! Imagine cuddling not just a stuffed animal, but a truly intelligent companion that understands you! The secret to Ai Hugging Meow's magic lies in its built-in AI dialogue system.

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...

According to the latest rankings released by the Hugging Face open-source community, Alibaba's Wanxiang large model, after only 6 days of open-sourcing, has surpassed DeepSeek-R1 to claim the top spot on both the trending models and model hub leaderboards. This achievement not only highlights Wanxiang's superior technical performance but also reflects its widespread recognition and influence within the global open-source community.