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AiBoss
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InternThinker, a powerful inference model developed by Shanghai AI Lab.

InternThinker, developed by the Shanghai Artificial Intelligence Laboratory, is a powerful reasoning model capable of autonomously generating high-intelligence-density data and meta-action thinking. Based on long-term thinking capabilities and self-reflection and correction mechanisms, it excels in mathematics, coding, and more...

What is InternThinker?

InternThinker, developed by the Shanghai Artificial Intelligence Laboratory, is a powerful reasoning model capable of autonomously generating high-intelligence-density data and meta-action thinking. Based on its long-term thinking ability and self-reflection and correction mechanisms, it excels in various complex tasks, including mathematics, coding, and reasoning puzzles. The model utilizes a fusion of general and specialized technologies, obtaining feedback in a large-scale sandbox environment to improve its performance in handling complex tasks, making it a key technology in exploring artificial general intelligence (AGI).

The main functions of InternThinker

  • Complex reasoning task processingIt can efficiently handle various complex reasoning tasks such as mathematics, programming, and logic puzzles.
  • Long-term thinking abilityIt performs long-chain logical reasoning and handles complex problems that require multi-step reasoning.
  • Meta-action thinking ability: Possess metacognitive abilities, that is, the ability to self-reflect and adjust strategies during the problem-solving process.
  • General and specialized integration
    • Data synthesis and distillation:Collaboration between general and specialized models allows for the synthesis of high-density supervised data, thereby improving model performance.
    • Large-scale sandbox environment feedback: Build a sandbox environment to provide feedback signals to the model, and build and optimize the model's reasoning ability in a bottom-up manner.

How to use InternThinker

  • Visiting scholar InternThinkerVisiting InternThinker's blogOfficial websiteRegister an account or log in directly.
  • Choose the scholar InternThinkerOn the login screen, find InternThinker on the left and click to enter the InternThinker user interface.
  • Enter task or problemEnter the problem or task you want to solve in the InternThinker input box. This includes math problems, programming problems, logic puzzles, etc.
  • Submit an issueAfter you finish entering the information, click the "Send" button, and the system will begin processing the issue.
  • View results and reasoning processThe system provides the answer to the question and demonstrates the reasoning process. You can see how the model solves the problem step by step.
  • Feedback and interactionIf you have questions about the results or need further explanation, interact with the model and ask more questions or make requests.
  • Experience and learningUse this platform to experience the problem-solving capabilities of InternThinker and learn how it handles and solves complex problems.

Application scenarios of InternThinker

  • Education and learning supportIn the field of education, it serves as a teaching aid, helping students solve complex problems in subjects such as mathematics and physics, and providing problem-solving strategies and methods.
  • Programming and Software DevelopmentIn the field of programming, it assists developers in writing, testing, and optimizing code, solving programming problems, and automatically generating code snippets.
  • Scientific Research and Data AnalysisIn the field of scientific research, I help researchers conduct data analysis, model building, and scientific reasoning, accelerating the research process.
  • Intelligent customer service and consultationAs an intelligent customer service system, it understands users' complex queries and provides accurate answers and solutions.
  • Legal consultation and case analysisIn the legal field, it assists lawyers in case analysis, providing support for legal reasoning and case studies.