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abhayap / llm-wiki.md
Created April 5, 2026 14:05 — forked from karpathy/llm-wiki.md
llm-wiki

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.

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abhayap / headtrack.py
Last active July 31, 2025 12:58
Read Supperware head tracker and output OSC to SceneRotator
import mido
from pythonosc.udp_client import SimpleUDPClient
ip_out = '127.0.0.1'
port_out = 7000
client = SimpleUDPClient(ip_out, port_out)
def convert(msb, lsb, degrees=True):