Scholar AI

Scholar AI (InternLM) is an open-source large-model ecosystem developed by the Shanghai Artificial Intelligence Laboratory. It provides a fusion of general and specialized AI capabilities to support intelligent innovation and the deployment of applications across scientific research, industry, and finance.

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Scholar Large Language ModelInternLM open-source modelGeneral-Purpose and Specialized Fusion AIScholar PuYu large language modelMultimodal large modelVertical-domain AI solutions

Features of Scholar AI

Provide the Scholar PuYu large language model, supporting long contexts and complex reasoning tasks
Open-source Scholar Wanxiang multimodal model, enabling multimodal understanding of images, videos, etc.
Introduce Scholar Fengwu and other vertical-domain models, focused on meteorology, finance, and other professional scenarios
Provide end-to-end open-source toolchain, covering the full workflow of model training, fine-tuning, and deployment
Adopt a general-specialized fusion technology pathway, combining general capabilities with deep domain-specific performance

Use Cases of Scholar AI

Researchers in materials design or compound prediction use Scholar Yanpu for spectral analysis and literature association
Finance professionals perform risk analysis and compliance checks, using Scholar Jishi to process professional texts and reasoning
Developers building intelligent agents can rapidly develop and deploy based on the Scholar PuYu model and its toolchain
Meteorological forecasting agencies needing mid- to long-term weather predictions can access the Scholar Fengwu model to obtain AI-driven forecast results
Urban planning and architectural teams use Scholar Tianji for large-scale real-world 3D modeling

FAQ about Scholar AI

What is Scholar AI? What services does it primarily offer?

Scholar AI is an open-source large-model technology system developed by the Shanghai Artificial Intelligence Laboratory. It primarily provides a full AI capability and toolchain, including the Scholar PuYu large language model, the Scholar Wanxiang multimodal model, and multiple vertical-domain models, serving scientific research, industry, and enterprise applications.

Are Scholar AI models free for commercial use?

Yes. The core model series (such as InternLM) adopt a free-for-commercial-use license; developers and enterprises may use them for commercial projects at no cost, provided they comply with the relevant terms.

What advantages does the Scholar PuYu model have over other open-source models?

The Scholar PuYu model excels in reasoning, mathematics, and code capabilities; it supports long contexts up to 1M tokens; it also features autonomous task planning and online information retrieval integration, with overall performance comparable to mainstream open-source models of similar scale.

How can non-technical users use Scholar AI's models?

Scholar AI provides a full open-source toolchain, such as XTuner for fine-tuning and LMDeploy for one-click deployment, along with detailed tutorials and community support, lowering barriers for non-technical users.

What are the concrete applications of Scholar AI in the financial field?

Through the Scholar Jishi financial large model, it can perform financial text recognition, analysis, and generation, incorporate retrieval augmentation and security/compliance checks, improving information access and analysis efficiency while effectively managing risk.

What types of data can Scholar AI's multimodal models handle?

Scholar Wanxiang and other multimodal models support images, videos, text, speech, and even 3D point clouds for processing and cross-modal reasoning, excelling in tasks such as graphical interface understanding and diagram interpretation.

Scholar AI

Features of Scholar AI

Provide the Scholar PuYu large language model, supporting long contexts and complex reasoning tasks

Open-source Scholar Wanxiang multimodal model, enabling multimodal understanding of images, videos, etc.

Introduce Scholar Fengwu and other vertical-domain models, focused on meteorology, finance, and other professional scenarios

Provide end-to-end open-source toolchain, covering the full workflow of model training, fine-tuning, and deployment

Adopt a general-specialized fusion technology pathway, combining general capabilities with deep domain-specific performance

Use Cases of Scholar AI

Researchers in materials design or compound prediction use Scholar Yanpu for spectral analysis and literature association

Finance professionals perform risk analysis and compliance checks, using Scholar Jishi to process professional texts and reasoning

Developers building intelligent agents can rapidly develop and deploy based on the Scholar PuYu model and its toolchain

Meteorological forecasting agencies needing mid- to long-term weather predictions can access the Scholar Fengwu model to obtain AI-driven forecast results

Urban planning and architectural teams use Scholar Tianji for large-scale real-world 3D modeling