Scholar Model

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Shusheng Big Model is an open-source AI training model system developed by the Shanghai Artificial Intelligence Laboratory. It covers multiple industry scenarios such as language processing, multimodal understanding, meteorology and finance, and is free and suitable for scientific research and industrial applications.

Collection time:
2025-07-14
Scholar ModelScholar Model

Scholar ModelIt was launched by the Shanghai Artificial Intelligence LaboratoryOpen source AITraining model systems are widely usedLanguage multimodal processing, weather and financial modeling, 3D modeling and other industry fieldsThis fully embodiesHigh reasoning power, ultra-long text processing, industry customization, and open source.Its advantages include support for free download and free commercial use. The platform is easy to operate and suitable for...Users include researchers, universities, enterprise developers, government agencies, and the financial industry.It also encourages community collaboration and localized innovation. In the future, the Shusheng Big Model is expected to drive innovative development in the intelligent society and boost the construction of a domestic AI ecosystem.

In recent years, the field of artificial intelligence has ushered in a strong wave of development, among whichScholar ModelAs an open-source AI training model system developed by the Shanghai Artificial Intelligence Laboratory, it has received high attention from academic, industrial, and developer communities both domestically and internationally. This article will provide an authoritative overview of the features, usage, pricing, solutions, and target audience of the Shusheng Big Model, and will detail its advantages and application scenarios through lists and tables.

Scholar Model Official Website
Image/Scholar Model Official Website

Introduction to the Large Model of the Scholar

Scholar Model(Official platform:)https://intern-ai.org.cn/The Shusheng Big Model is a model system independently developed by the Shanghai Artificial Intelligence Laboratory, targeting various industry scenarios such as large language models, general multimodal models, meteorological and oceanographic modeling, and financial intelligence. The Shusheng Big Model has attracted considerable attention due to its...Powerful reasoning capabilities, processing of extremely long texts, multimodal information processing, adaptation to highly dynamic scenarios, and open-source policy.

  • It has multiple deep models for fields such as natural language processing, multimodal computing, weather and meteorology, and 3D space.
  • Most models are open source and can be used commercially for free.
  • Supports ultra-long text reasoning and processing, and integrates more real-world knowledge.
  • It has mature application cases in fields such as finance, scientific research, and urban planning.

See related pages:Scholar Model Official Website


The main functions of the scholar model

Multi-domain sub-model architecture

Shusheng Big Model has built multiple types and directions of AI training models, covering a variety of scenarios such as text, images, audio and video, 3D data, weather forecasting, and spectroscopic analysis.

Model functional architecture diagram
Photo/Model functional architecture diagram
Functional modulesDetailed descriptionRepresentative models/tools
Language processingSupports generation of very long texts, reasoning, and multiple languages.Scholar Pu Yu
Multimodal understandingText-image-video mutual understanding and reasoningScholar · Myriad Phenomena InternVL
Weather & Ocean ForecastMeteorological and Oceanographic Short/Medium/Long-Term ForecastsScholar and Wind Crow
Financial text analysis and generationStrengthening AI capabilities in the financial sectorScholar who saves the world
Spectral analysisAutomatic parsing of complex spectra, literature linkingScholar Yan Pu
3D spatial modeling and renderingEfficient modeling, rendering and interactionScholar · Sky
Airfoil generation designIntelligent Civil Aircraft Airfoil Generation and EditingScholar Winged
Dynamic imaging optimizationExtreme lighting restoration, multi-exposure fusionScholar Uraka
Strong reasoning and metacognitionMathematics, logical connections, meta-action thinkingInternThinker
Information retrievalMulti-agent complex information retrieval and integrationMindSearch
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Feature Highlights List

Login/Register
Image/Login/Register
  • Extremely Long Text ReasoningSupports input at the level of one million words.
  • Autonomous Network Information Integration: Perform real-time search and content organization on open networks
  • Multimodal processing capabilityIt can simultaneously understand and reason about real-time text, images, and video content.
  • Highly specialized modelsModels for meteorology, finance, spectroscopy, etc., are specifically optimized for industry-specific tasks.
  • Support for explainability and security complianceFinancial models incorporate risk control and content security modules.

For a detailed introduction to the functions of the sub-models, please refer to [link/reference]. Scholar's Big Model Sub-Model Special Page


Price & Solution for the Large Scholar Model

The Scholar Model and its core model are currently primarily open source and free.

  • The vast majority of models are open source code and APIs for free to researchers, developers, and enterprises.
  • The main models, such as Shusheng·Puyu and Shusheng·Wanxiang, have been made available to the public for free commercial use (see the open source agreement and commercial license document for details).
  • Some industry-specific customized features, advanced functions, or API services have paid plans, such as enterprise-level support and dedicated custom development. You can contact the official website to obtain a customized quote.
Large Weather Forecasting Model
Image/Weather Forecasting Model
Service TypesSolution DescriptionIs it free?
Open source model downloadSource code/model weights open
Online Model APIFree quotas are available for the open community; enterprise APIs require application.Basic functions are free
Enterprise-level customization & private deploymentPricing based on enterprise needs
Commercial LicensingFree commercial license; registration required for some scenarios.Yes/Case-based fee

For the latest commercial and API policies, please visit the Shusheng Large Model Pricing and Services page.


How to use the scholar model

Core usage process

  1. Visit the official website to register
    Log in Scholar Model Official WebsiteRegister/login to obtain an account.
  2. Select the desired model
    Enter the model library and select target sub-models such as Shusheng·Puyu and Shusheng·Wanxiang as needed.
  3. Enter task or submit data
    Enter text, upload images/videos, or input 3D/spectroscopy/financial data according to the task category.
  4. Perform AI inference and generation
    Click "Execute" or use the API to complete the relevant generation, analysis, and prediction tasks.
  5. Results Download and Reuse
    It supports exporting analysis results and generated products, facilitating local saving and subsequent analysis.

Example: Text generation operation steps

Large Model in the Financial Field
Image/Large-scale model in the financial field
stepOperating Instructions
Account LoginRegister/Log in on the official website
Select sub-modelScholar Pu Yu / InternThinker et al.
Input contentCopy/paste text or upload relevant data
Task settingsSpecify writing style/dialogue/logical analysis, etc.
Execution and Result AcquisitionAwaiting generation; supports diverse result formats.

The target audience for the large-scale scholar model

Based on model types and functional characteristics, Shusheng's large model covers users at multiple levels, from researchers to engineers, and from enterprise scenarios to the education field.

  • Universities and researchers
    Thesis writing, complex data analysis, research projects
  • Enterprise IT and Development Team
    Application integration, algorithm innovation, and intelligent upgrading of industries
  • Government and Enterprises
    Urban governance, disaster prediction, industry consulting
  • Financial practitioners and analysts
    Financial text automation, risk assessment, content generation
  • Aerospace and Industrial Engineers
    Intelligent design and simulation
  • ordinary developers
    Development and experimentation of various innovative AI application prototypes
AI
Image/Artificial Intelligence

Scholar's Big Model Ecosystem and Technological Openness

Open source strategy and community connections

  • Fully open sourceThe core model parameters, training code, and user manual have all been uploaded to the open-source platform.
  • Community-drivenDevelopers can participate in bug reporting, model upgrades, and plugin development.
  • University CooperationSharing datasets and research findings to promote the academic ecosystem of artificial intelligence in China.

Enter the community and open source resource area:Scholar Model Open Source Community


Practical Applications and Collaboration Cases of the Scholar Model

Typical industry application list

  • Educational ResearchAutomated literature review, automated test question generation, and academic paper writing assistance
  • FintechIntelligent risk control, interpretation of financing documents, and industry compliance review.
  • Meteorological and marine early warningShort-term rainfall, medium-term weather, and interannual marine forecasts
  • AerospaceIntelligent generation and optimization of supercritical airfoils
  • Smart City3D modeling of cities and digital preservation of cultural heritage
  • Multimodal content generationAI-powered drawing, video description, and image data processing.
  • Spectroscopy and Scientific ExperimentsAutomatic EPR spectrum analysis and intelligent literature retrieval
Realistic 3D Large Model
Image/Large-scale 3D model of the real scene

Frequently Asked Questions

Is the Scholar's Big Model available to individual developers?

answer:
Currently, most of the models in the Shusheng Big Model platform are available for download and free trial to individual developers. In particular, core AI training models such as Shusheng·Puyu, Wanxiang, and Fengwu can be accessed through open-source code or platform APIs. Please refer to the official website for specific access and usage conditions.

What API calls and integration methods does the Shusheng Big Model support?

answer:
The platform offers multiple access methods, including a general RESTful API and a Python SDK, facilitating rapid integration and embedding in various scenarios. Some specialized models can be deployed in conjunction with enterprise private deployments.

What are the unique advantages of the Shusheng large model in multimodal processing?

answer:
The Shusheng·Wanxiang model supports synchronous input and mutual understanding of modalities such as text, images, and videos, and has advanced capabilities such as hallucination detection, visual grounding, and real-world scene reconstruction. It is widely applicable to AI-generated content, scientific analysis, and intelligent perception systems.


Scholar ModelWith its open-source nature, comprehensive functionality, and localized adaptation, Shusheng has quickly become a driving force in China's AI training model innovation wave. Whether for scientific research or industry application, the Shusheng platform provides users with powerful, efficient, and reliable AI model capabilities. In the future, as its ecosystem continues to expand and industry applications deepen, Shusheng's large-scale models will undoubtedly continue to propel the innovation of the intelligent society.
For detailed information on features and applications, please visit [website address].[Scholar Model Official Website]Get first-hand information.

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