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Heyflyingpig/README.md

Hi , I'm Heyflyingpig 👋

专注于 LLMs 智能体开发 | 将大模型应用到生活中的方方面面:因果推断与智能体,多智能体应用探索


About Me

我是 DMIR 实验室 的一员,热衷于探索人工智能的前沿领域。

目前专注于

  • Multi-agent Systems:探索多智能体协作架构,研究复杂任务环境下的智能体分工、通信机制与协同决策。
  • Agentic Applications:致力于构建端到端的智能体解决方案,将 LLM 的推理能力转化为解决实际问题的自主行动力。
  • LLMs Tools:开发增强大模型能力的工具链与中间件,涵盖 RAG(检索增强生成)、长短期记忆管理 (Memory) 及工具调用框架。
  • Causal Inference:结合大模型与因果科学,专注于自动因果发现、反事实推理及可解释性分析,提升 AI 的逻辑可靠性。

Research Interests & Focus

LLMs Multi-Agent RAG Causal Inference

Working On

Project Description Link
CausalAgent 一个集成了 AGENT 的因果分析工具。它能够自动识别因果关系,生成专业的分析报告,并提供可交互的因果图谱。 View Project

Connect with Me


Pranesh's GitHub stats

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  1. CausalAgent CausalAgent Public

    这是一个由LangGraph协议主导的因果分析Muti-Agent,结合MCP,RAG等多种工具进行辅助进行因果分析,提供给用户一份完善的因果分析的分析报告和因果图

    Python 13 1