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## llm-wiki.md

      
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                karpathy
                / llm-wiki.md
            
            
              Created
              April 4, 2026 16:25
            
              
                llm-wiki
              
          
    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.

  
## glyphes.py
# -*- encoding: UTF-8 -*-

'''
extract all first-level elements (groups and paths) from an SVG file and extract as single SVG files
great to extract multiples glyphes from a single SVG files
works with groups and Line, Rect, Circle, Polyline, Polygon, Path
'''

import os
import re

## conventional-commits-cheatsheet.md

      
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                husseinmarah
                / conventional-commits-cheatsheet.md
            
            
              Created
              May 28, 2026 15:36
                — forked from qoomon/conventional-commits-cheatsheet.md
            
              
                Conventional Commits Cheatsheet
              
          
    Conventional Commit Messages 

See how a minor change to your commit message style can make a difference.
git commit -m"<type>(<optional scope>): <description>" \
  -m"<optional body>" \
  -m"<optional footer>"


## conventional-commits-cheatsheet.md

      
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                qoomon
                / conventional-commits-cheatsheet.md
            
            
              Last active
              May 28, 2026 15:36
            
              
                Conventional Commits Cheatsheet
              
          
    Conventional Commit Messages 

See how a minor change to your commit message style can make a difference.
git commit -m"<type>(<optional scope>): <description>" \
  -m"<optional body>" \
  -m"<optional footer>"


## microgpt.py
"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp

## index.html
<!doctype html>
<html>
  <head>
    <title>This is the title of the webpage!</title>
  </head>
  <body>
    <p>This is an example paragraph. Anything in the <strong>body</strong> tag will appear on the page, just like this <strong>p</strong> tag and its contents.</p>
  </body>
</html>

## 00_cqf_ml_elective.md

      
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                yhilpisch
                / 00_cqf_ml_elective.md
            
            
              Last active
              May 28, 2026 14:59
            
              
                Machine Learning for Finance | Dr. Yves J. Hilpisch | CQF Elective | London, 23. May 2017
              
          
    Machine Learning for Finance


A CQF elective with Dr. Yves J. Hilpisch, The Python Quants GmbH
General resources:

http://tpq.io


## code_to_media_id.py
# This is Python port of this Javascript method:
# https://github.com/notslang/instagram-id-to-url-segment/blob/master/lib/index.coffee

url = "https://www.instagram.com/p/B8iwlG9pXHI/"
# ----> use regexp to extract code from url
code = "B8iwlG9pXHI"

charmap = {
    'A': '0',
    'B': '1',
	# -- encoding: UTF-8 --

	'''
	extract all first-level elements (groups and paths) from an SVG file and extract as single SVG files
	great to extract multiples glyphes from a single SVG files
	works with groups and Line, Rect, Circle, Polyline, Polygon, Path
	'''

	import os
	import re
	"""
	The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
	This file is the complete algorithm.
	Everything else is just efficiency.

	@karpathy
	"""

	import os # os.path.exists
	import math # math.log, math.exp
	<!doctype html>
	<html>
	<head>
	<title>This is the title of the webpage!</title>
	</head>
	<body>
	<p>This is an example paragraph. Anything in the <strong>body</strong> tag will appear on the page, just like this <strong>p</strong> tag and its contents.</p>
	</body>
	</html>
	# This is Python port of this Javascript method:
	# https://github.com/notslang/instagram-id-to-url-segment/blob/master/lib/index.coffee

	url = "https://www.instagram.com/p/B8iwlG9pXHI/"
	# ----> use regexp to extract code from url
	code = "B8iwlG9pXHI"

	charmap = {
	'A': '0',
	'B': '1',