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Achievement: Pair Extraordinairex4Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pair Extraordinairex4Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

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LeeGyeongPil/README.md

Gyeongpil Lee (이경필)

I build small open-source tools for the parts of LLM apps that are easy to skip: output checks, evals, RAG and local models.

Lately

  • Output and tool-call checks — schema shims, tool-call protocol, guardrail comparison
  • Evals — LLM-judge agreement, embedding A/B tests, RAG recall
  • Local LLM ops — Ollama, LoRA adapters, context windows
  • Korean text for LLMs — PII masking, TTS readout, IME testing

Most projects run offline with a mock mode, no API key needed. Each comes with tests, CI and an MIT license.

한국어 소개

LLM 앱을 만들다 "이런 도구 하나 있으면 좋겠다" 싶던 것을 직접 만들어 오픈소스로 공개합니다. 요즘은 출력·도구 호출 검증, 평가, 로컬 LLM 운영, 한국어 처리를 주로 봅니다. 대부분 API 키 없이 모의 모드로 바로 돌려 볼 수 있습니다.

Projects

All 77 projects: ai-lab

Python · TypeScript · Dart

Popular repositories Loading

  1. ai-lab-lora-finetune ai-lab-lora-finetune Public

    Step-by-step LoRA fine-tuning demo: teach a 0.5B model a cat-speech style with 100 examples, training 0.89% of parameters. Runs on a Mac or CPU with one command and writes an HTML report with loss …

    Python

  2. ai-lab-agent-loop-mcp ai-lab-agent-loop-mcp Public

    See an AI agent loop step by step: thoughts, MCP tool calls and results on a live timeline. Runs with a mock model or local Ollama. Beginner-friendly guide.

    Python

  3. ai-lab-rag-rerank ai-lab-rag-rerank Public

    Local RAG demo that shows retrieval results before and after cross-encoder reranking, with evidence highlights, score distribution and a golden-question scoreboard. Korean samples, Ollama, ONNX.

    Python

  4. ai-lab-llm-eval-gate ai-lab-llm-eval-gate Public

    Tiny dependency-free LLM prompt eval gate: scores prompts on a small test set (incl. LLM judge) and fails CI on regressions beyond a noise range. Offline demo via recorded answers.

    Python

  5. ai-lab ai-lab Public

    Open-source tools, libraries and runnable demos for building reliable LLM apps — evals, prompt caching, RAG, agents and MCP. Mock mode, no keys needed.

  6. ai-lab-local-llm-bench ai-lab-local-llm-bench Public

    Dependency-free Python tool that benchmarks a local Ollama server and splits latency into queue, load, prefill and decode. Try it keyless with a mock mode that replays recorded timings. M1: input l…

    Python