
Zhiyuan Wudao 3.0 is a series of advanced artificial intelligence grand models developed and released by Beijing Zhiyuan Artificial Intelligence Research Institute.
Model Series and Functions
Jiyuan Wudao 3.0 covers several model series, including "Wudao-Skyhawk" linguistic model series, "Wudao-Vision" visual model series, and a series of multimodal model results. These model series provide rich functionalities such as smooth text dialog, multi-language generation tasks, text code generation, multi-modal and visual processing, etc.
- "Wudao - Sky Eagle" Language Large Model SeriesThe AquilaCode model supports both Chinese and English languages, enabling high performance code generation with a small data set and a high number of parameters. The AquilaCode model supports Chinese and English bilingualism, and can realize high-performance code generation with a small dataset and a small number of parameters.
- "Enlightenment - Vision" Visual Model Series: Focusing on visual processing tasks, it provides a wide range of visual macromodels for image recognition, analysis, and other areas.
Technical features and advantages
- Large scale and high precision: The neural network parameters of Jiyuan Wudao 3.0 reach more than 10 billion scale, which can accommodate more information and data and improve the complexity and accuracy of the model. Models of this scale have better generalization performance and can handle more complex and broader problems.
- emergent: Models can generate unexpected new capabilities, mainly due to the size and complexity of the model. When solving a specific problem, the model can learn to obtain some laws and characteristics, which in turn can emerge some new properties and capabilities.
- versatility: The model can be applied to a wide range of problems and domains without the need to customize it for a specific problem or domain. This versatility makes Jiyuan Wudao 3.0 more widely applicable.
- Open Source and Free: Jiyuan Wudao 3.0 has been fully open-sourced and is available with a free commercial license. This reduces the cost of use for users and promotes the popularization and application of the technology.
Application Scenarios and Value
The big model of Wisdom Source Wudao 3.0 can be applied in many fields, such as intelligent transportation, healthcare, education and so on. In the field of intelligent transportation, it can solve the problems of road condition recognition, intelligent lane analysis, and traffic accident analysis. In the medical field, it can realize large-scale biological data analysis, deep learning diagnostic model construction and other functions. In addition, Zhiyuan Wudao 3.0 can provide richer support for intelligent manufacturing, smart cities and other application areas.
Evaluation System and Open Platform
In order to promote big models in industrial landing and technological innovation, Wisdom Source Research Institute also released the FlagEval (scale) big language model evaluation system and open platform. The evaluation system aims to establish a one-stop scientific, fair, and open evaluation benchmark, method, and toolset for basic models to assist researchers in assessing the performance of basic models and training algorithms in all aspects. Meanwhile, Wisdom Source Research Institute also provides open source evaluation tools to support the evaluation of multiple chips and deep learning frameworks.
To summarize, Wisdom Source Wudao 3.0 is a powerful and technologically advanced artificial intelligence big model series. It is favored by the research and development community for its diversity, high performance, open source, and free of charge, and has shown a wide range of application prospects and value in many fields.
data statistics
Relevant Navigation

Tencent launched the open source raw image model, which natively supports 2K HD raw images, accurately parses complex semantics, and can efficiently generate high-quality images with Chinese and English fusion.

FacePoke
Open source real-time facial expression editing tool that allows users to adjust facial expressions and head orientation in static images in real time with simple operations.

R1-Omni
Alibaba's open-source multimodal large language model uses RLVR technology to achieve emotion recognition and provide an interpretable reasoning process for multiple scenarios.

Nemotron 3
NVIDIA's open-source AI model series, featuring Nano, Super, and Ultra variants, is specifically designed for intelligent agent applications, delivering high efficiency and precision.

Laminar
An open source AI engineering optimization platform focused on AI engineering from first principles. It helps users collect, understand and use data to improve the quality of LLM (Large Language Model) applications.

BabelDOC
Open source AI translation tool, supporting bilingual control, multi-engine translation, format preservation and batch processing, helping researchers read foreign literature efficiently.

BLOOM
A large open-source multilingual language model developed by over 1,000 researchers from more than 60 countries and 250 institutions, with 176B parameters and trained on the ROOTS corpus, supporting 46 natural languages and 13 programming languages, aims to advance the research and use of large-scale language models by academics and small companies.

BERT
Developed by Google, the pre-trained language model based on the Transformer architecture provides a powerful foundation for a wide range of NLP tasks by learning bi-directional contextual information on large-scale textual data with up to tens of billions of parameters, and has achieved significant performance gains across multiple tasks.
No comments...
