Julynx

Basic Tips - Intermediate Tips - Advanced Tips

mollietaylor

# recreating realitytvgenerator.com

# dictionary:
# define our two vectors with the names we'd like to use
first <- c("Fear", "Frontier", "Nanny", "Job", "Yard", "Airport", "Half Pint", "Commando", "Fast Food", "Basketball", "Bachelorette", "Diva", "Baggage", "College", "Octane", "Clean", "Sister", "Army", "Drama", "Backyard", "Pirate", "Shark", "Project", "Model", "Survival", "Justice", "Mom", "New York", "Jersey", "Ax", "Warrior", "Ancient", "Pawn", "Throttle", "The Great American", "Knight", "American", "Outback", "Celebrity", "Air", "Restaurant", "Bachelor", "Family", "Royal", "Surf", "Ulitmate", "Date", "Operation", "Fish Tank", "Logging", "Hollywood", "Amateur", "Craft", "Mystery", "Intervention", "Dog", "Human", "Rock", "Ice Road", "Shipping", "Modern", "Crocodile", "Farm", "Amish", "Single", "Tool", "Boot Camp", "Pioneer", "Kid", "Action", "Bounty", "Paradise", "Mega", "Love", "Style", "Teen", "Pop", "Wedding", "An American", "Treasure", "Myth", "Empire", "Motorway", "Room", "Casino", "Comedy", "Unde

aliyaliu368

教學用電子書免登入破解教學

使用前請務必閱讀 免責聲明

免責聲明

請勿將本腳本作為抄答案、侵權等惡意用途，使用本腳本者，請自行承擔所有後果與風險。

簡介

cfjedimaster

<a href id="reload">clicky</a>

<script type="text/javascript">
    $(document).ready(function(){
        function getUsers(){
            $.ajax({
                type: "GET",
                url:"../components/user.cfc?method=GET",
                dataType: "json",
                data: {

Untitled-1.html

<a href id="reload">clicky</a>

<script type="text/javascript">
    $(document).ready(function(){
        function getUsers(){
            $.ajax({
                type: "GET",
                url:"../components/user.cfc?method=GET",
                dataType: "json",
                data: {

luizomf

sudo apt update -y
sudo apt upgrade -y
sudo apt install git curl build-essential -y
sudo apt install gcc make default-libmysqlclient-dev libssl-dev -y
sudo apt install python3.10-full python3.10-dev -y

SharrHou

#acdsee
127.0.0.1 acdid.acdsystems.com
#acronis
127.0.0.1 activation.acronis.com
#adobe
127.0.0.1 activate.adobe.com
127.0.0.1 ereg.adobe.com
127.0.0.1 hlrcv.stage.adobe.com
127.0.0.1 lm.licenses.adobe.com
127.0.0.1 lmlicenses.wip4.adobe.com

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.

Denny-89

-------------------------
Proxmox LXC - 1 core, 512MB ram, 16MB swap, 512MB space, privileged
Clock mechanism - Chouchin CH-899
Replace "Europe/Berlin" with appropriate timezone if not living in GMT+1
-------------------------
Debian

nano /usr/local/bin/fake-ntp-dst.py
chmod +x /usr/local/bin/fake-ntp-dst.py