What is Wenxiaobai o4
Wenxiaobai o4 is China's first parallel thinking model, capable of launching 8 thinking paths simultaneously, automatically selecting the optimal solution, and providing precise answers. The model integrates Long-CoT reinforcement learning and process reward learning, with deep reasoning and high-quality thinking selection capabilities. Wenxiaobai o4 performs excellently on complex tasks, with typing speedDeepSeek R1improved by 70%, and performance significantly better thanOpenAI o3-mini-mediumandClaude Opus 4. The model is suitable for academic test questions, code programming, and search scenarios, effectively reducing hallucination rates and providing more accurate results. Users can visit the official websiteWenxiaobaior updateWenxiaobai Appto version 3.18.8 to experience the model's powerful features.
Main features of Wenxiaobai o4
- Multi-perspective thinking: Capable of launching 8 parallel thinking paths simultaneously, exploring problems from different angles, and automatically selecting the optimal solution.
- Efficient reasoning: With deep reasoning capabilities, typing speed is improved by 70% compared to DeepSeek R1, significantly reducing the time cost of obtaining high-quality answers.
- High-quality output: Outstanding performance on complex tasks, greatly improving answer accuracy and interpretability, able to identify logical errors and select best practices.
- Academics and programming: Able to extract knowledge points from academic test questions, automatically match the optimal solving method, and support code generation and completion, providing efficient and accurate solutions.
- Search optimization: By filtering low-quality thinking processes, it effectively reduces the hallucination rate in RAG scenarios by 10%, making search results more accurate.
Technical principles of Wenxiaobai o4
- Parallel thinking mechanism: Wenxiaobai o4 can launch 8 parallel thinking paths simultaneously, like an efficient "brainstorming" team, synchronously exploring solutions from different angles and using different strategies, and can automatically select the optimal thinking path to provide users with the most precise answers.
- Reinforcement learning and process reward learning: Integrates an end-to-end training mechanism of "Long-CoT reinforcement learning" and "Process Reward Learning." This enables the model to focus on the accuracy of the final result during training and also on the quality of the thinking process, improving the model's deep reasoning ability and its ability to select high-quality thinking processes.
- Model compression and engine acceleration: Based on ultimate model compression and engine acceleration technology, Wenxiaobai o4's typing speed is improved by 70% compared to DeepSeek R1, significantly reducing the time cost of obtaining high-quality answers and improving user experience.
- Complex task processing capability: Wenxiaobai o4 is a Dense architecture foundation model with stronger reasoning capabilities and greater proficiency in handling complex tasks. With 32B parameters, it achieves new performance breakthroughs on complex mathematics and code programming tasks, and can effectively handle complex logic and problems.
How to use Wenxiaobai o4
- Official website experience: Visit theWenxiaobaiofficial website, select the Wenxiaobai o4 model for interaction, enter a question or requirement, and the model automatically launches parallel thinking paths, selects the optimal solution, and provides an answer.
- APP experience: Download and updateWenxiaobai Appto version 3.18.8. Through the mobile app, chat with Wenxiaobai o4 anytime and anywhere, and enjoy powerful parallel thinking and reasoning capabilities.
Application scenarios of Wenxiaobai o4
- Project Planning: Provide task breakdown and time management suggestions for software development projects to help teams complete projects efficiently.
- Search Optimization: When searching for "the difference between Anshan City and Anshan Village," accurately distinguish between the two, provide clear logic and a summary, and avoid confusion of information.
- Product Design: Provide multiple creative proposals for the design of a new smartwatch to help the team quickly identify the most promising design directions.
- Health Advice: Provide advice on how to improve sleep quality through diet and exercise to help users improve their lifestyle habits.
- Study Tutoring: Provide high school students with detailed explanations and practice questions on the physics optics section to help students better understand and master the knowledge points.