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study8677/README.md

Hi, I'm Jingwen Fan (范敬文) 👋

AI/ML learner focusing on Large Language Models (LLMs).
Passionate about the full LLM lifecycle from pre-training & fine-tuning to alignment (RLHF) and inference optimization.


🚀 Current Focus

  • LLM Alignment: RLHF, PPO, DPO & Retrieval-Augmented Generation (RAG)
  • Learning: Agentic Workflows, DeepSpeed & model quantization (AWQ / GPTQ)

🎓 Background

  • Education: Qilu University of Technology (QLUT)
  • Research Interests: Reward modeling, context window extension, chain-of-thought (CoT)

🎯 Goals

  • Seeking 2026 Summer Internship opportunities
    (LLM / Multimodal / Agent / RLHF)

📟 最新文章

💌 联系方式

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  1. antigravity-workspace-template antigravity-workspace-template Public

    🪐 The ultimate starter kit for Google Antigravity IDE. Optimized for Gemini 3 Agentic Workflows, "Deep Think" mode, and auto-configuring .cursorrules.

    Python 394 82

  2. IA-CNN IA-CNN Public

    基于IA-CNN的不平衡数据分类算法----一种新的不平衡数据处理方法

    Python 2

  3. verl verl Public

    Forked from volcengine/verl

    verl: Volcano Engine Reinforcement Learning for LLMs

    Python 1

  4. RAG_TQE-Translation-based-Query-Expansion RAG_TQE-Translation-based-Query-Expansion Public

    Translation-based Query Expansion (TQE):基于等价翻译的查询扩展模块,用于多语言检索系统。仅通过忠实翻译(如中文→英文)扩展查询,不进行语义改写,适用于 RAG 与多级检索(label / doc / chunk)。

    1