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.

cplpearce

{
  "aw": {
    "name": "Aruba",
    "alpha-2": "AW",
    "alpha-3": "ABW",
    "country-code": "533",
    "iso_3166-2": "ISO 3166-2:AW",
    "region": "Americas",
    "sub-region": "Latin America and the Caribbean",
    "intermediate-region": "Caribbean",

mhijack

[
    "Africa/Abidjan",
    "Africa/Accra",
    "Africa/Addis_Ababa",
    "Africa/Algiers",
    "Africa/Asmara",
    "Africa/Bamako",
    "Africa/Bangui",
    "Africa/Banjul",
    "Africa/Bissau",

zafarivaev

import PlaygroundSupport
import Foundation
import Combine

// MARK: - Network Controller
protocol NetworkControllerProtocol: class {
    typealias Headers = [String: Any]
    
    func get<T>(type: T.Type,
                url: URL,

AdrianBinDC

//
//  ConnectivityUtility.swift
//
//  Created by Adrian Bolinger on 7/10/18.
//  Copyright © 2018 Adrian Bolinger. All rights reserved.
//

import UIKit
import Reachability

yossan

import Foundation
import CoreLocation

/*
θ = atan2( sin Δλ ⋅ cos φ2 , cos φ1 ⋅ sin φ2 − sin φ1 ⋅ cos φ2 ⋅ cos Δλ )
where	φ1,λ1 is the start point, φ2,λ2 the end point (Δλ is the difference in longitude)
*/

func calculateBearing(from: CLLocationCoordinate2D, to: CLLocationCoordinate2D) -> Double {
    let x1 = from.longitude * (Double.pi / 180.0)

dionc

import MapKit

extension MKCoordinateRegion {
	
	init?(coordinates: [CLLocationCoordinate2D]) {
		
		// first create a region centered around the prime meridian
		let primeRegion = MKCoordinateRegion.region(for: coordinates, transform: { $0 }, inverseTransform: { $0 })
		
		// next create a region centered around the 180th meridian

adamcichy

extension CGImage {
    var isDark: Bool {
        get {
            guard let imageData = self.dataProvider?.data else { return false }
            guard let ptr = CFDataGetBytePtr(imageData) else { return false }
            let length = CFDataGetLength(imageData)
            let threshold = Int(Double(self.width * self.height) * 0.45)
            var darkPixels = 0
            for i in stride(from: 0, to: length, by: 4) {
                let r = ptr[i]

kharrison

//
//  CoreDataController.swift
//
//  Created by Keith Harrison http://useyourloaf.com
//  Copyright (c) 2017 Keith Harrison. All rights reserved.
//
//  Redistribution and use in source and binary forms, with or without
//  modification, are permitted provided that the following conditions are met:
//
//  1. Redistributions of source code must retain the above copyright

patpohler

Big List of Real Estate APIs

Listings / Property Data

####Rets Rabbit http://www.retsrabbit.com

Rets Rabbit removes the nightmare of importing thousands of real estate listings and photos from RETS or ListHub and gives you an easy to use import and Web API server so you can focus on building your listing search powered website or app.