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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.

@Eamon2009
Eamon2009 / Quadtrix.py
Last active April 17, 2026 16:29
Quadtrix
'''Single-file Quadtrix language model — transformer training loop with tiktoken (GPT-2 BPE):
-Now you can chat with it
-Sulti-head
-Self-attention
-AdamW optimizer
-Best-checkpoint saving
-Live token streaming
-No external config dependencies
Trained on TinyStories dataset (not included) — a dataset of short children's stories used to study language model capabilities at small scale. Drop in any plain-text corpus as cleaned.txt and training starts immediately.'''
import torch
@GAS85
GAS85 / split_tunnel_VPN.md
Last active April 17, 2026 16:27
Force Torrent/user Traffic through VPN Split Tunnel on Ubuntu 16.04
@phaag
phaag / cheatsheet.md
Last active April 17, 2026 16:27
nfdump Filter Syntax Cheatsheet

nfdump Filter Syntax Cheatsheet

The nfdump filter syntax is similar to tcpdump, but it is adapted and extended for NetFlow and IPFIX records.
This cheatsheet provides both a learning-friendly introduction and a complete reference for filter usage in nfdump.


🧭 Getting Started with Filters

A filter defines which flow records should be matched or displayed.