karpathy

"""
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

myself659

Adobe Acrobat Pro DC License Key

carefree-ladka

SDE-2 Frontend System Design Interview Prep

A structured weekend checklist for mastering large-scale UI system design interviews. Focus: Think in systems, not just code.

---

Table of Contents

1. How to Structure Your Answer

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.

sathishshan

#single video
youtube-dl --cookies youtube.com_cookies.txt "URL"

#playlist
youtube-dl --yes-playlist --cookies youtube.com_cookies.txt "URL"

You can use: --playlist-start, --playlist-end, --playlist-reverse or --playlist-items to achieve this goal.

#Note: cookie should be in Netscape format

ih2502mk

Lecture 1: Introduction to Research — [📝Lecture Notebooks] [▶️Video]
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [▶️Video]
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [▶️Video]
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [▶️Video]
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[▶️Vide

jojopko

OpenWrt + olcRTC + sing-box: стабильный интернет через LTE

Практический сетап для ситуации, когда проводного интернета нет, доступна только LTE-связь, обычные VPN/VLESS-конфигурации работают нестабильно, а нормальный доступ в интернет нужен сразу для нескольких устройств — в том числе для работы через корпоративные VPN.

Это не универсальная инструкция и не «правильная архитектура на все случаи жизни». Ниже описан конкретно мой сетап, который сейчас работает у меня и который можно использовать как отправную точку.

Поддержать можно:

• BTC bc1q6r9tdctf2wjrhj03w0u8lrg3gs2m8fkvcv4953
• USDT (TRC20) TK29wf2q2pBtm4rFDPkVqfBoNKdKR7qMXS

pjburnhill

TypeSafe Jev — Project Knowledge Resource

Status: Working project reference
Knowledge date: 16 September 2026
Scope: TypeSafe AI, System One Models, and specifically the Jev model

---

1. Purpose of this resource

romantech

#!/bin/bash

# Define colors
RED=$(tput setaf 1)
GREEN=$(tput setaf 2)
BLUE=$(tput setaf 4)
YELLOW=$(tput setaf 3)
RESET=$(tput sgr0)

# Function to handle errors

ashwch

Git Worktrees: From Zero to Hero

Table of Contents

1. What Are Git Worktrees? (First Principles)
2. The Problem Worktrees Solve
3. How Worktrees Work
4. Worktrees + Submodules: Monolith Setup
5. Practical Tutorial: Creating Your First Worktree
6. Advanced Workflows
7. Best Practices