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.

nalgeon

olalonde

#!/bin/bash
rm /tmp/image-pull-secret.yaml
login_cmd=$(aws ecr get-login)
username=$(echo $login_cmd | cut -d " " -f 4)
password=$(echo $login_cmd | cut -d " " -f 6)
endpoint=$(echo $login_cmd | cut -d " " -f 9)
auth=$(echo "$username:$password" | /usr/bin/base64)

configjson="{ \"auths\": { \"${endpoint}\": { \"auth\": \"${auth}\" } } }"

myshov

console.log(1);
(_ => console.log(2))();
eval('console.log(3);');
console.log.call(null, 4);
console.log.apply(null, [5]);
new Function('console.log(6)')();
Reflect.apply(console.log, null, [7])
Reflect.construct(function(){console.log(8)}, []);
Function.prototype.apply.call(console.log, null, [9]);
Function.prototype.call.call(console.log, null, 10);

mgoodness

kubectl -n kube-system create sa tiller
kubectl create clusterrolebinding tiller --clusterrole cluster-admin --serviceaccount=kube-system:tiller
helm init --service-account tiller

MrTrustor

#!/bin/bash

# Copyright 2017 Théo Chamley
# 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:
#
# The above copyright notice and this permission notice shall be included in all copies or

alexrqs

Create a branch with the tag

	git branch {tagname}-branch {tagname}
	git checkout {tagname}-branch

Include the fix manually if it's just a change ....

	git add .
	git ci -m "Fix included" # or cherry-pick the commit, whatever is easier
	git cherry-pick {num_commit}

olih

Processing JSON using jq

jq is useful to slice, filter, map and transform structured json data.

Installing jq

On Mac OS

brew install jq

mlebkowski

#!/bin/bash

# remove exited containers:
docker ps --filter status=dead --filter status=exited -aq | xargs -r docker rm -v
    
# remove unused images:
docker images --no-trunc | grep '<none>' | awk '{ print $3 }' | xargs -r docker rmi

# remove unused volumes:
find '/var/lib/docker/volumes/' -mindepth 1 -maxdepth 1 -type d | grep -vFf <(

dchaplinsky

#!/usr/bin/python

import re, urllib, urllib2

class Spreadsheet(object):
	def __init__(self, key):
		super(Spreadsheet, self).__init__()
		self.key = key

class Client(object):