Peter Chan cgpeter96

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

	"""
	@desc:
	en:the simple code of road name extration
	cn:简单街道抽取脚本
	@author:peter
	@mail:peter_chen_jaon@foxmail.com
	@date:2021/2/24
	@note:
	该脚本可能存在问题，但由于目前数据就这么多所以就先这样吧，仅供参考。
	"""

	#include <iostream>
	#include <fstream>
	#include <string>
	#include <vector>
	#include <unordered_map>
	#include <boost/algorithm/string.hpp>
	#include <utf8proc.h>

	//https://unicode.org/reports/tr15/#Norm_Forms
	//https://ssl.icu-project.org/apiref/icu4c/uchar_8h.html

	# train_grpo.py
	from typing import *
	import re
	import torch
	from datasets import load_dataset, Dataset, load_from_disk
	from transformers import AutoTokenizer, AutoModelForCausalLM, TrainingArguments
	from peft import LoraConfig
	from trl import GRPOConfig, GRPOTrainer, TrlParser
	from dataclasses import dataclass, field

	#!/usr/bin/env node

	/**
	* Extract original source code from a JavaScript source map file.
	*
	* Usage:
	* node extract-sourcemap.mjs <path-to-.map-file> [output-dir]
	*
	* Example:
	* node extract-sourcemap.mjs cli.js.map ./src-extracted

	[build]
	compiler=msvc