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.

chris-castillo-dev

javascript:!function(){function e(e){return[{tag:"span",textContent:"People also ask"}].some(t=>{let{tag:r,textContent:o}=t,l=e.querySelector(`${r}:not([hidden])`);return l&&l.textContent.trim()===o})}let t=document.getElementById("rso"),r=document.querySelectorAll("em"),o={};r.forEach(t=>{let r=t.closest("#rso > div");if(r&&e(r))return;let l=t.textContent.trim().toLowerCase();if(l){let n=l.split(",").map(e=>e.trim());n.forEach(e=>{e&&(o[e]=(o[e]||0)+1)})}});let l=[["Bolded Terms","Count"]];for(let[n,i]of Object.entries(o))l.push([n,i]);let a=[["URL","Position","Title","Description","Terms","Count"]];if(t){let s=Array.from(t.children),c=0;s.forEach(t=>{var r;if(e(t)||!(r=t).querySelector("a[href]")&&!r.querySelector("h3"))return;c++;let o=t.querySelector("a[href]");if(!o)return;let l=o.href,n=t.querySelector("h3")?.textContent.trim()||"",i=t.querySelector(".kb0PBd > .VwiC3b > span:not(.LEwnzc)")?.textContent.trim()||"",s=t.querySelectorAll("em"),u={};s.forEach(e=>{let t=e.textContent.trim().toLowerCase();if(t

anithegregorian

//
// Package Name: DAT
// Package URI: https://www.dat.com
// Subpackage: Stylesheet
// Author: Exemplifi
// Author URI: https://www.dat.com
// Description: Elementor fixes
// Version: 1.0
// License: Creative Commons 3.0 Attribution
// License URI: https://creativecommons.org/licenses/by/3.0/us/

anithegregorian

<?php
/**
 * @package        elementor-extend.php
 * @subpackage     datdev
 * @author         Exemplifi
 * @created        29/10/20 - 6:30 PM
 * @license        Creative Commons 3.0 Attribution
 * @licenseurl     https://creativecommons.org/licenses/by/3.0/us/
 * @desc           Enter description
 * @link           http://www.dat.com

anithegregorian

:root {
  --body-font-family: Sequel Sans, Roboto, Helvetica Neue, Arial, Noto Sans, sans-serif, Apple Color Emoji, Segoe UI Emoji, Segoe UI Symbol, Noto Color Emoji;
  --heading-font-family: Sequel Sans, Times New Roman, Times, Times CY;
  --heading-font-weight: 500;
  --scale-factor-xs: 0.5;
  --scale-factor-sm: 0.75;
  --scale-factor-md: 0.8;
  --scale-factor-lg: 1;
  --scale-factor-xl: 1;
  --vertical-margin-xs: 0.5rem;

nntrn

List of NFL API Endpoints

This page has been updated a lot in the past 3 years. Older revisions you might like more than this one:

• June 2021 - list of endpoints for other sports/leagues (i.e. nba, nhl, mlb)
• August 2021 - get historical fantasy league data
• September 2021 - list of endpoints in plain text
• May 2023 - collapsed endpoint response examples
• Mar 2025 - endpoint

InstanceFactory

/*
*
* Start of disabling Search Functionality, in case the request blocker is not active
*
* see also: https://instance-factory.com/?p=1706#disableSearch
*/

function ifb_filter_query($query)
{
    if (is_search()) {

deckerweb

<?php
/** Do NOT include the opening php tag */


add_action( 'do_meta_boxes', 'ddw_remove_astra_metaboxes_for_non_admins' );
/**
 * Remove Astra settings meta box for users that are not administrators
 *   Inspired by: https://www.facebook.com/groups/wpastra/permalink/367143130421624/?comment_id=367167440419193&comment_tracking=%7B%22tn%22%3A%22R1%22%7D
 *
 * @author David Decker - DECKERWEB

Lwdthe1

[
	{ "city": "Abbeville", "state": "Louisiana" },
	{ "city": "Aberdeen", "state": "Maryland" },
	{ "city": "Aberdeen", "state": "Mississippi" },
	{ "city": "Aberdeen", "state": "South Dakota" },
	{ "city": "Aberdeen", "state": "Washington" },
	{ "city": "Abilene", "state": "Texas" },
	{ "city": "Abilene", "state": "Kansas" },
	{ "city": "Abingdon", "state": "Virginia" },
	{ "city": "Abington", "state": "Massachusetts" },

lukecav

function disable_elementor_dashboard_overview_widget() {
	remove_meta_box( 'e-dashboard-overview', 'dashboard', 'normal');
}
add_action('wp_dashboard_setup', 'disable_elementor_dashboard_overview_widget', 40);