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.

sebastianschramm

from pathlib import Path

import boto3
from tqdm import tqdm


def upload_to_s3(
    file_name: str,
    target_bucket_name: str,
    target_object_name: str,

kzaremski

--
-- ** AppleNotesExporter **
-- -- Easily export Apple notes to standard encoding HTML preserving directory structure
--
-- Copyright 2022 Konstantin Zaremski
-- 
-- Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
-- documentation files (the "Software"), to deal in the Software without restriction, including without limitation
-- the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software,
-- and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

Stiropor

import { nextTick } from 'vue'
export const useProperCookie = () => useCookie('proper_token')

export const useAuthFetch = (url, fetchOptions = {}) => {
    return $fetch(url, {
        baseURL: 'https://l9.test/api/v1',
        ...fetchOptions,
        headers: {
            Authorization: `Bearer ${useProperCookie().value}`,
            ...fetchOptions.headers,

amerryma

import '@testing-library/jest-dom'

import { render } from '@testing-library/react'
import { renderHook } from '@testing-library/react-hooks'
import nock from 'nock'

import TestComponent from './TestComponent'

const mockResultData = [
    {

kepano

javascript: Promise.all([import('https://unpkg.com/turndown@6.0.0?module'), import('https://unpkg.com/@tehshrike/readability@0.2.0'), ]).then(async ([{
    default: Turndown
}, {
    default: Readability
}]) => {

  /* Optional vault name */
  const vault = "";

  /* Optional folder name such as "Clippings/" */

bengolder

from django.test import TestCase
from django.contrib import auth

class BaseAuthTestCase(TestCase):
  
  def assertLoggedInAs(self, user):
      client_user = auth.get_user(self.client)
      self.assertEqual(client_user, user)
      assert client_user.is_authenticated()

nayanseth

(*
Script - Comments
@author - Nayan Seth
© Tech Barrack Solutions Pvt Ltd
*)

--This is a single line comment
#This is a comment too but still single line

(*

adamlj

requests.post("https://api.mailgun.net/v2/DOMAIN/messages",
              auth=("api", "key-SECRET"),
              files={
                  "attachment[0]": ("FileName1.ext", open(FILE_PATH_1, 'rb')),
                  "attachment[1]": ("FileName2.ext", open(FILE_PATH_2, 'rb'))
              },
              data={"from": "FROM_EMAIL",
                    "to": [TO_EMAIL],
                    "subject": SUBJECT,
                    "html": HTML_CONTENT