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.

GlowScripts

78 Tax Tips for Canadians for Dummies (ISBN - 0470676582) 
A Family's Guide to the Military for Dummies (ISBN - 0470386975) 
Access 2007 VBA Programming for Dummies (ISBN - 0470046538) 
Access 2010 All-in-One for Dummies (ISBN - 0470532181) 
Access Forms & Reports for Dummies (ISBN - 0764599658) 
Access VBA Programming for Dummies (ISBN - 0764574116) 
Accounting for Dummies (ISBN - 0470246006) 
Accounting Workbook for Dummies (ISBN - 0471791458) 
Acne for Dummies (ISBN - 0471746983) 
Acrylic Painting for Dummies (ISBN - 047044455X) 

xem

Conventions

• A = [xA, yA] is a point on the 2D plane. Same for B, C, ...
• lengths are in any unit (ex: pixels)
• code snippets are in JavaScript

Degrees to radians

angleRad = angleDeg * Math.PI / 180;

Chaser324

Whether you're trying to give back to the open source community or collaborating on your own projects, knowing how to properly fork and generate pull requests is essential. Unfortunately, it's quite easy to make mistakes or not know what you should do when you're initially learning the process. I know that I certainly had considerable initial trouble with it, and I found a lot of the information on GitHub and around the internet to be rather piecemeal and incomplete - part of the process described here, another there, common hangups in a different place, and so on.

In an attempt to coallate this information for myself and others, this short tutorial is what I've found to be fairly standard procedure for creating a fork, doing your work, issuing a pull request, and merging that pull request back into the original project.

Creating a Fork

Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or j

jetfir3

#!/usr/bin/env bash

# Download VMware Workstation for Linux
# Handles legacy versions (12.x - 17.6.3) from Cloudflare CDN cache and
# newer versions (17.6.4+) from Archive.org.
#
# Use '-k' to keep the CDN download file compressed, exiting after download. (Ignored for v17.6.4+)
# Use '-v <Version>' to specify desired version directly.

BASE_URL="https://softwareupdate-prod.broadcom.com/cds/vmw-desktop/"

fernando

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kiler129

#!/bin/bash
set -e -o errexit -o pipefail -o nounset

###################################
# This script can be used by itself, but it's recommended that you read
# a tutorial on Proxmox forum first: https://forum.proxmox.com/threads/hey-proxmox-community-lets-talk-about-resources-isolation.124256/
###################################

# Do not modify these variables (set by Proxmox when calling the script)
vmId="$1"

fabiolimace

DROP VIEW IF EXISTS uuid7;
CREATE VIEW uuid7 AS
WITH unixtime AS (
	SELECT CAST((STRFTIME('%s') * 1000) + ((STRFTIME('%f') * 1000) % 1000) AS INTEGER) AS time
	-- SELECT CAST((UNIXEPOCH('subsec') * 1000) AS INTEGER) AS time -- for SQLite v3.38.0 (2022)
)
SELECT PRINTF('%08x-%04x-%04x-%04x-%012x', 
       (select time from unixtime) >> 16,
       (select time from unixtime) & 0xffff,
       ABS(RANDOM()) % 0x0fff + 0x7000,

szepeviktor

Download Wistia videos

1. right-click on the playing video, select Copy link
2. find Wistia video ID in the copied link e.g. wvideo=tra6gsm6rl
   • alternative: look for e.g. hashedId=tra6gsm6rl in the page source
3. load http://fast.wistia.net/embed/iframe/ + video ID in your browser
4. look for "type":"original" in the page source and copy the URL from the next line e.g. "url":"http://embed.wistia.com/deliveries/129720d1762175bcd8e06dcab926ec76ad38ff00.bin"

• alternative: look for "type":"hd_mp4_video"