Skip to content

Instantly share code, notes, and snippets.

View yibie's full-sized avatar
🎯
Focusing

yibie yibie

🎯
Focusing
View GitHub Profile
@rougier
rougier / sidetabs.el
Created April 28, 2026 17:54
Emacs sidetabs
;;; sidetabs.el --- Left side tabs -*- lexical-binding: t; -*-
;; Copyright (C) 2026 Nicolas P. Rougier
;; Author: Nicolas P. Rougier <nicolas.rougier@inria.fr>
;;; Package-Requires: ((emacs "27.1"))
;; Keywords: convenience
;; This file is not part of GNU Emacs.

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.

@rain-1
rain-1 / LLM.md
Last active June 19, 2026 17:01
LLM Introduction: Learn Language Models

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.