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MindGPT 3.1 - End-to-end Agent Model Launched by Li Xiang Tong Xue

Author: AI小集 · Original source: AI工具集

What is MindGPT 3.1

MindGPT 3.1 is a new-generation AI model launched by Li Auto's AI Li Xiang Tong Xue. It integrates agent capabilities into the large model to achieve an end-to-end agent model. It supports thinking while searching, synchronously invoking tools during reasoning, and provides faster, more comprehensive, and more accurate results. MindGPT 3.1 has significantly improved output speed, reaching up to 200 tokens per second, nearly 5 times faster than the previous generation. It performs excellently in core dimensions such as mathematics, code, scientific Q&A, and instruction following, comprehensively outperforming MindGPT 3.0 and leading industry open-source models.

MindGPT-3.1

Main Features of MindGPT 3.1

  • End-to-end agent model: MindGPT 3.1 has been upgraded to an end-to-end agent model, deeply integrating agent capabilities into the large model.
  • Thinking while searching: It supports synchronously invoking tools during reasoning, enabling reasoning while searching and providing fast, comprehensive, and accurate results.
  • Improved output speed: Based on efficient training capabilities, MindGPT 3.1 outputs up to 200 tokens per second, nearly 5 times faster than MindGPT 3.0.
  • Enhanced reasoning and coding capabilities: In core dimensions such as mathematics, code, scientific Q&A, and instruction following, all indicators comprehensively outperform MindGPT 3.0 and lead industry open-source models.
  • Enhanced coding capabilities: It can implement classic programming examples such as Snake and pinball control.

How to Use MindGPT 3.1

  • Upgrade the app: EnsureLi Xiang Tong Xue Appis upgraded to V1.5.0 to experience the MindGPT 3.1 model.
  • Access the platform: ThroughLi Xiang Tong Xue web versionor App to access MindGPT 3.1's features.
  • Enter a question: Enter your question or instruction in the app, and MindGPT 3.1 will parse and process it.
  • Think while searching: During the process of answering complex questions, MindGPT 3.1 automatically invokes search tools to provide more accurate answers.
  • Code generation: For programming-related questions, MindGPT 3.1 can generate code and provide examples, such as the Snake game.
  • Multitasking: Use MindGPT 3.1's multitasking capabilities to perform tasks such as mathematical calculations and data analysis.

Application Scenarios of MindGPT 3.1

  • Complex problem solving: Suitable for complex problems requiring deep thinking and reasoning, providing precise answers.
  • Programming development: Assists developers in code writing, debugging, and optimization, and generates example code.
  • Mathematical calculation: Solves mathematical problems and provides calculation steps and results.
  • Scientific Q&A: Answers questions in the scientific field and provides detailed explanations and analysis.
  • Instruction following: Understands and executes user instructions to complete specific tasks.
  • Educational assistance: Assists teaching in the education field, providing learning materials and problem-solving ideas.