Peking University's Strongest Code Model CodeShell-7B is Open Source, Dominating Performance, Fully Open Source IDE Plugin

Peking University Develops SYMPLEX, the World's First Gene Mining Large Model, to Power the New Era of Biomanufacturing

Peking University Team Proposes Novel Framework LIFT to Inject Long-Context Knowledge into Model Parameters

Microsoft Collaborates with Tsinghua and Peking University to Launch rStar-Math Technology: Small Model Triumphs Over Mathematical Problems, Surpassing OpenAI!

Peking University and ByteDance Join Forces! Establishing the 'Doubao' Large Model Joint Laboratory for In-depth Integration of Industry, Academia, and Research

On December 12, Peking University and ByteDance officially announced the establishment of the Doubao Large Model System Software Joint Laboratory, marking a new milestone in the collaboration between industry, academia, and research in China's AI field. The research work of the joint laboratory will be based on the Doubao large model independently developed by ByteDance. Researchers from universities and enterprises will conduct in-depth research on key technologies such as model training and inference within the laboratory. With the construction and development of the laboratory, a large number of Peking University students will also enter the laboratory for internships, working side by side with industry researchers.

Peking University Releases Boya AI Education Large Model to Promote Digital Transformation in Education

Peking University Team Releases Multimodal Model LLaVA-o1, Inference Capabilities Comparable to GPT-o1!

Recently, research teams from Peking University announced the release of an open-source multimodal model called LLaVA-o1, which is claimed to be the first visual language model capable of spontaneous and systematic reasoning, comparable to GPT-o1. The model excels in six challenging multimodal benchmark tests, with its 11B parameter version outperforming competitors such as Gemini-1.5-pro, GPT-4o-mini, and Llama-3.2-90B-Vision-Instruct.

Goodbye to the 'Black Box'! Peking University Develops New AI Framework FakeShield, Making Image Forgery Obsolete!

Kuaishou and Peking University Launch Pyramid-Flow, a High-Definition Video Generation Model That Can Create 24 Frames of High-Resolution Video

Kuaishou, Peking University, and Beijing University of Posts and Telecommunications have joined forces to unveil a groundbreaking technological achievement—the Pyramid-Flow high-definition video model. This open-source project has made significant breakthroughs in the field of AI-generated video, bringing new possibilities to the industry. The Pyramid-Flow model demonstrates remarkable capabilities, generating high-quality videos of up to 10 seconds in length, with a resolution of 1280x768 and a frame rate of 24fps, using only text input. It excels in light and shadow effects, motion continuity, overall image quality, and text interpretation.

Kuaishou and Peking University Join Hands to Open Source Video Generation Model Pyramid-Flow: Capable of Generating 10-Second Ultra High Definition Videos

Recently, Kuaishou, along with research teams from Peking University and Beijing University of Posts and Telecommunications, jointly open-sourced an ultra high definition video generation model named Pyramid-Flow. This model can generate videos of up to 10 seconds long, with a resolution of 1280x768 and 24 frames per second, producing high-quality results with excellent lighting effects, action consistency, and overall video quality. Pyramid-Flow operates differently from existing video diffusion models, which typically run at full resolution; while this approach allows for...

Peking University and Alibaba Launch Omni-MATH: The Ultimate Challenge for AI Mathematics Capability

Following OpenAI's GPT-4 achieving remarkable results in traditional mathematics assessments, the research teams from Peking University and Alibaba have jointly launched a brand new evaluation benchmark - Omni-MATH, aimed at assessing the reasoning abilities of large language models at the level of the Olympic mathematics competitions. This initiative not only provides a new standard for evaluating AI mathematics capabilities but also opens up new avenues for exploring AI's potential in advanced mathematics. The unique design of Omni-MATH includes a database of 4,428 competition-level mathematics problems.