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On June 23, NetEase Youdao officially launched and open-sourced its latest 'Ziyue 3' series large model, named 'Confucius3-Math' in English. This reasoning model, focused on mathematical education, can efficiently run on ordinary consumer-grade GPUs, becoming the first low-cost and high-performance AI educational tool in China. In a series of mathematical reasoning tasks, 'Ziyue 3' has demonstrated outstanding performance that surpasses many large-scale general models. The 'Ziyue Math Model' achieves this through large-scale reinforcement learning and a series of innovative algorithms.

Another breakthrough in the application of artificial intelligence in education! A new AI tool named VideoTutor has sparked heated discussions recently. Its innovative function allows users to generate teaching videos similar to those of Khan Academy style by simply entering one sentence or uploading a screenshot of a question, covering scenarios such as K12 education and SAT preparation. AIbase provides an in-depth analysis of this star in education technology for you, including its highlights and potential. One-sentence Generation of Personalized Teaching Videos is the core highlight of VideoTutor.

On April 25th, Razer officially launched its new Pro Click V2 series of ergonomic mice, including the standard Pro Click V2 and the new vertical Pro Click V2 Vertical Edition, starting at 799 yuan. These mice not only combine comfort and functionality in their design but also prioritize user experience. The Pro Click V2 features a classic 6-button design with a central scroll wheel...

A GitHub open-source project named "system-prompts-and-models-of-ai-tools" has gained significant traction, accumulating 30.5K stars and becoming a popular resource for AI developers and researchers. This project, according to AIbase, compiles system prompts and model configurations for 9 mainstream AI tools, encompassing over 6500 lines of content and covering v0, Cursor, Manus, Same.dev, Lovable, Devin, and Rep.

AI video research company Tavus recently released Hummingbird-0, its latest zero-shot lip synchronization model, hailed as the current State-of-the-Art (SOTA) in lip-sync technology. The model is now available for research preview on the Tavus platform, API, and FAL, generating significant interest within the AI content creation field. Hummingbird-0 represents a breakthrough in zero-shot lip synchronization, built upon Tavus' flagship model Phoenix-

A recent joint study by Google, Carnegie Mellon University, and MultiOn explores the application of synthetic data in training large language models. According to Epoch AI, a research institution focused on AI development, currently available high-quality text training data totals around 300 trillion tokens. However, with the rapid advancement of large models like ChatGPT, the demand for training data is growing exponentially, projected to exhaust existing resources by 2026. Therefore, synthetic data is becoming increasingly crucial.

Designers woke up to a collapsing world. Jimeng quietly launched the internal testing of its 3.0 model. The new model has made significant breakthroughs in image quality, generating images with rich details and superior quality from simple text prompts. Jimeng 3.0's core advantage lies in its precise control over complex scenes and details. By inputting short prompts, the model can generate visually stunning images in a short time, such as realistic natural landscapes or exquisite portraits. Compared to previous versions, Jimeng 3.0 shows significant improvements in scene layout, color matching, and detail rendering.