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IoTeacher / llm-wiki.md
Created May 21, 2026 17:03 — forked from karpathy/llm-wiki.md
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.

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IoTeacher / luxurytravelwebsite.md
Last active April 3, 2026 15:44 — forked from ivanfioravanti/luxurytravelwebsite.md
luxurytravelwebsite prompt for testing coding agents

Create a production-ready, visually stunning website with a futuristic luxury travel theme.

GOAL Build a single-page (plus optional “Destination” detail route) website for a fictional brand: “AURORA LUXE TRAVEL” — ultra-premium, concierge-level trips.

TECH STACK (use exactly this unless something breaks)

  • Next.js (latest stable) + TypeScript
  • Tailwind CSS
  • Framer Motion (for scroll/entrance animations)
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IoTeacher / vps-setup.sh
Created March 18, 2026 19:35 — forked from Virtual-Robert/vps-setup.sh
OpenClaw VPS Quick Setup (with Docker + Agent Pipeline)
#!/bin/bash
set -e
# OpenClaw VPS Quick Setup
# Download and run: curl -O <url> && chmod +x setup.sh && ./setup.sh
BLUE='\033[0;34m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
RED='\033[0;31m'
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IoTeacher / terminal-commands.md
Last active February 9, 2026 17:07 — forked from bradtraversy/terminal-commands.md
Common Terminal Commands
image

Common Terminal Commands

Key Commands & Navigation

Before we look at some common commands, I just want to note a few keyboard commands that are very helpful:

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IoTeacher / pimoroniBadger2040w-i.md
Last active March 7, 2026 23:48 — forked from cavj83/server_in_lap.py
PIMORONI BADGER 2040 W con un LLM para historias ilimitadas generativas, un libro electrónico ePapel infinito
image

📖 Auto Práctica con API de OpenAI ChatGPT vía MicroPython

Dispositivo: Pimoroni Badger 2040 W Lenguaje: MicroPython + Python (Flask) Autor: Juan Carmona Valdez Fecha: Noviembre 2025

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IoTeacher / Code.gs
Created November 25, 2025 00:05 — forked from CortesAguilar/Code.gs
AutoPractica con API de OpenAI Chatgtp via MicroPython
// ============================================================================
// Google Apps Script - Proxy seguro para llamadas a OpenAI desde la Pico W
// Materia: Lenguajes de Interfaz
// Alumno: Javier Ulises Cortes Aguilar - 22211541
//
// Este script recibe solicitudes POST desde la Raspberry Pi Pico,
// extrae "pregunta" y "contexto", genera un prompt combinado (Mini-RAG),
// llama a OpenAI GPT-4.1-mini de manera segura y devuelve SOLO la respuesta.
// ============================================================================
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IoTeacher / index.html
Created November 25, 2025 00:05 — forked from CortesAguilar/index.html
Webserver que sirve archivos estáticos (HTML/CSS/JS) desde filesystem.
<!DOCTYPE html>
<html class="dark" lang="en"><head>
<meta charset="utf-8"/>
<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
<title>Monitoreo — Demo</title>
<link href="https://fonts.googleapis.com/css2?family=Material+Symbols+Outlined" rel="stylesheet"/>
<script src="https://cdn.tailwindcss.com?plugins=forms,container-queries"></script>
<style>
.material-symbols-outlined {
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IoTeacher / PantallaLCD.md
Last active May 20, 2026 05:56 — forked from cavj83/PantallaLCD.md
Test Pantalla LCD ssd1306, puede via THONNY mandar llamar la libreria en (library)
image

Raspberry Pi Pico SSD1306 OLED Display (MicroPython)

1. Escaneo de dispositivos I2C

Creditos: JUAN CARMONA VALDEZ via cavj83

Nombre: Jahziel Amado López Angulo
Número de Control: 22211593
GitHub: Jahziel43

🧪 Práctica 3: Monitoreo IoT con InfluxDB, Prometheus y Grafana en EC2 + Tailscale

🎯 Objetivo de aprendizaje

Instalar y configurar un stack de monitoreo IoT en Ubuntu Server.
Conectar el servidor y dispositivos personales mediante Tailscale VPN.
Inyectar datos RAW simulados en InfluxDB.

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IoTeacher / githubpull.md
Created May 29, 2025 15:44 — forked from Jabarabo/githubpull.md
Gist of a stolen gist