karpathy

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.

greeflas

#!/bin/bash

set -e

if [ -d ~/.local/share/JetBrains/Toolbox ]; then
    echo "JetBrains Toolbox is already installed!"
    exit 0
fi

echo "Start installation..."

htlin222

# ── RSS 來源 ──────────────────────────────────────────────
[[rss.feeds]]
name = "JCO (ASCO Pubs)"
url  = "https://ascopubs.org/action/showFeed?type=etoc&feed=rss&jc=jco"

[[rss.feeds]]
name = "NEJM Hematology-Oncology"
url  = "https://onesearch-rss.nejm.org/api/specialty/rss?context=nejm&specialty=hematology-oncology"

[[rss.feeds]]

egonelbre

title	Architecture

Introduction

Gio implements an Immediate Mode User Interface.. This approach can be implemented in multiple ways, however the overarching similarity is that the program:

1. listens for events such as mouse or keyboard input,

armand238

# Put this in your ~/.gitconfig or ~/.config/git/config
# Windows users: "~" is your profile's home directory, e.g. C:\Users\<YourName>
[user]
  name = Your Full Name
  email = your@email.tld
[color]
  # Enable colors in color-supporting terminals
  ui = auto
[alias]
  # List available aliases