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.

debasishg

Basics

1. The Log-Structured Merge-Tree (LSM-Tree)
2. B-Tree vs Log-Structured Merge-Tree
3. Modern B-tree techniques
4. More Modern B-Tree Techniques
5. LSM-based Storage Techniques: A Survey

B-trees and CPU Caches

cramforce

• Lights: Elgato Key Lights (2, one as actual key light, one as fill light)
  • Looking into these lights can cause fatigue after a while, which sucks if you're doing that all day.
  • I managed to work around it by heavily dimming one light that is in my field of view and moving the other light out of my field of view.
• Microphone: Blue Snowball Ice
• Microphone pop filter
• Wall/ceiling mounts for camera and lights
• Camera: Sony a6000.
  • This is one of multiple older Sony mirrorless cameras recommended for streaming.
• Whichever you buy, make sure the reviews mention that it can stay on

vasanthk

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

1. Clarify and agree on the scope of the system

• User cases (description of sequences of events that, taken together, lead to a system doing something useful)
  • Who is going to use it?
  • How are they going to use it?

joepie91

Don't use VPN services.

No, seriously, don't. You're probably reading this because you've asked what VPN service to use, and this is the answer.

Note: The content in this post does not apply to using VPN for their intended purpose; that is, as a virtual private (internal) network. It only applies to using it as a glorified proxy, which is what every third-party "VPN provider" does.

• A Russian translation of this article can be found here, contributed by Timur Demin.
• A Turkish translation can be found here, contributed by agyild.
• There's also this article about VPN services, which is honestly better written (and has more cat pictures!) than my article.

outro56

Contents

• Articles
• Algorithms
• Coding
• Guides
• Language-specific
  • JavaScript
• Python

trinitronx

omnibus-ansible

This script has moved to: neillturner/omnibus-ansible

This is the original version of the Ansible install script. If you want the latest, please see the above link!

Install latest Ansible via pip + dependencies via a shell script

This file is used to install ansible in test kitchen when you set in the kitchen.yaml file

tsiege

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!






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macintux

• https://dancres.github.io/Pages/
• https://ferd.ca/a-distributed-systems-reading-list.html
• http://the-paper-trail.org/blog/distributed-systems-theory-for-the-distributed-systems-engineer/
• https://github.com/palvaro/CMPS290S-Winter16/blob/master/readings.md
• http://muratbuffalo.blogspot.com/2015/12/my-distributed-systems-seminars-reading.html
• http://christophermeiklejohn.com/distributed/systems/2013/07/12/readings-in-distributed-systems.html
• http://michaelrbernste.in/2013/11/06/distributed-systems-archaeology-works-cited.html
• http://rxin.github.io/db-readings/
• http://research.microsoft.com/en-us/um/people/lamport/pubs/pubs.html
• http://pdos.csail.mit.edu/dsrg/papers/

willurd

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000