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glide-the/README.md

Hi there 👋, I'm glide-the

Building innovative AI Evaluation Systems, architecting scalable DevOps solutions, and passionate about bringing impactful startups to life.


🧠 About Me

  • 🔭 Currently focused on building cutting-edge AI Evaluation Systems leveraging the power of Large Language Models and custom-designed pipelines to ensure reliability and performance.
  • 🧱 Proficient in building robust and scalable backend infrastructure using Python, FastAPI, Kubernetes, and MySQL, essential for deploying and managing AI applications.
  • 🔬 Deeply interested in research areas including Retrieval-Augmented Generation (RAG) for enhanced LLM knowledge, Agent Orchestration for building intelligent multi-agent systems, and Prompt Optimization techniques for maximizing LLM output quality.
  • 💡 Past experience includes working with tools like Unsloth, LlamaFactory, and CodeLlama for fine-tuning and customizing Large Language Models.
  • 💬 Happy to discuss topics such as LangChain for building LLM applications, ComfyUI for visual AI workflows, Fine-Tuning techniques for LLMs, and leveraging data-driven insights for IRR Forecasting.

🛠️ Tech Stack

Python FastAPI MySQL Docker Kubernetes Vue.js Poetry


📈 GitHub Stats


🚀 Featured Projects

  • 🔗 AI EvalKit - A modular and extensible framework designed for comprehensive evaluation of Large Language Models, ensuring their accuracy, reliability, and ethical behavior.
  • 📊 FinModeler - An advanced KPI-based tool for generating insightful Internal Rate of Return (IRR) forecasts, leveraging data-driven methodologies for strategic financial planning.
  • 🧠 RAG-Playground - A lightweight and versatile testbed for experimenting with multi-modal Retrieval-Augmented Generation (RAG) pipelines, exploring innovative approaches to enhance LLM performance with external knowledge.

📬 Connect with Me


🧭 Motto of the Day

“Ship early. Iterate fast. Measure everything.”


Pinned Loading

  1. RVC-Speakers RVC-Speakers Public

    Ready Voice Controller , generate for End-to-End Text-to-Speech,with Multi-engine integration

    Jupyter Notebook 3

  2. InterpretationoDreams InterpretationoDreams Public

    使用langchain进行任务规划,构建子任务的会话场景资源,通过MCTS任务执行器,来让每个子任务通过在上下文中资源,通过自身反思探索来获取自身对问题的最优答案;这种方式依赖模型的对齐偏好,我们在每种偏好上设计了一个工程框架,来完成自我对不同答案的奖励进行采样策略

    Jupyter Notebook 29 2

  3. MetaGLM/ComfyUI-ZhipuAI-Platform MetaGLM/ComfyUI-ZhipuAI-Platform Public

    智谱平台相关工作流

    Python 5 4

  4. weaviate-segm-chunk weaviate-segm-chunk Public

    Python 2

  5. agent-sandbox agent-sandbox Public

    一个异步任务框架

    Python