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...

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)...

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.

Hugging Face has recently launched an online learning course called 'Agent Course', aimed at helping learners deepen their understanding of the fundamentals and applications of intelligent agents. The course is rich in content and is divided into five modules, progressing from basic concepts of agents to final assessment assignments, assisting students in mastering the necessary skills. The first module is 'Welcome to the Course', providing an overview, guidelines, and required tools to ensure that learners have a solid foundation during their studies. Next is

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.'

Recently, Hugging Face released a new Python package called 'OpenAI-Gradio', aimed at helping developers quickly create AI-driven web applications. The launch of this tool signifies a major shift in AI integration, streamlining the process of using OpenAI's large language models (LLMs) and allowing developers of various skill levels to easily get started. With OpenAI-Gradio, developers can launch their AI applications in just a few minutes.

Recently, the artificial intelligence platform Hugging Face announced that the number of publicly available AI models has exceeded one million. This milestone not only signifies Hugging Face's rapid development in the AI field but also reflects the increasing importance of specialized AI solutions. Image source note: The image was generated by AI, image authorized by service provider Midjourney. Hugging Face co-founder Clément Delang

Hugging Face recently released LightEval, a lightweight AI evaluation tool designed to assist enterprises and research institutions in more accurately assessing large language models. This tool emphasizes the importance of evaluation in the application of AI technologies, helping to ensure the accuracy, impartiality, and alignment of model outputs with business objectives. Addressing the limitations of traditional evaluation methods, LightEval offers customized evaluation solutions and integrates with other tools from Hugging Face, such as Datat.