Daniel Dietrich danieldietrich

git checkout master # you can avoid this line if you are in master...
git subtree split --prefix dist -b gh-pages # create a local gh-pages branch containing the splitted output folder
git push -f origin gh-pages:gh-pages # force the push of the gh-pages branch to the remote gh-pages branch at origin
git branch -D gh-pages # delete the local gh-pages because you will need it: ref

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.

People

`:bowtie:`	😄 `:smile:`	😆 `:laughing:`
😊 `:blush:`	😃 `:smiley:`	☺️ `:relaxed:`
😏 `:smirk:`	😍 `:heart_eyes:`	😘 `:kissing_heart:`
😚 `:kissing_closed_eyes:`	😳 `:flushed:`	😌 `:relieved:`
😆 `:satisfied:`	😁 `:grin:`	😉 `:wink:`
😜 `:stuck_out_tongue_winking_eye:`	😝 `:stuck_out_tongue_closed_eyes:`	😀 `:grinning:`
😗 `:kissing:`	😙 `:kissing_smiling_eyes:`	😛 `:stuck_out_tongue:`

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.

	/*
	* Easing Functions - inspired from http://gizma.com/easing/
	* only considering the t value for the range [0, 1] => [0, 1]
	*/
	EasingFunctions = {
	// no easing, no acceleration
	linear: t => t,
	// accelerating from zero velocity
	easeInQuad: t => t*t,
	// decelerating to zero velocity

	#!/bin/bash

	# Tom Hale, 2016. MIT Licence.
	# Print out 256 colours, with each number printed in its corresponding colour
	# See http://askubuntu.com/questions/821157/print-a-256-color-test-pattern-in-the-terminal/821163#821163

	set -eu # Fail on errors or undeclared variables

	printable_colours=256