zigforge

#!/bin/bash
# Usage: sudo ./tailscale_rdp_setup.sh "tailscalekey-auth-key"

set -e

# Error handling
handle_error() {
    echo "An error occurred on line $1"
    exit 1
}

zigforge

import os
import base64
import streamlit as st
from mistralai import Mistral
from PIL import Image
import io
from dotenv import load_dotenv

# 加载 .env 文件
load_dotenv()

zigforge

# Zero-downtime deployment script for a Django project with multiple websites (each as a separate app) 
#hosted on an Ubuntu server, passing through GitHub Actions and using MySQL on a separate database server, 
#follow these steps. This process ensures that updates are deployed without downtime.

#!/bin/bash

# Set the directory path
directory="/Users/homesachin/Desktop/zoneone/practice"

zigforge

Install and configure BIND9 as caching DNS nameserver [Debian/Ubuntu]

This tutorial shows how to set-up and configure BIND9 as domain name server (DNS) in caching mode on Debian/Ubuntu based Linux system.

Instalation

sudo apt-get install bind9

BIND configuration

zigforge

Accelerating Discrete Program Search

I am investigating how to use Bend (a parallel language) to accelerate Symbolic AI; in special, Discrete Program Search. Basically, think of it as an alternative to LLMs, GPTs, NNs, that is also capable of generating code, but by entirely different means. This kind of approach was never scaled with mass compute before - it wasn't possible! - but Bend changes this. So, my idea was to do it, and see where it goes.

Now, while I was implementing some candidate algorithms on Bend, I realized that, rather than mass parallelism, I could use an entirely different mechanism to speed things up: SUP Nodes. Basically, it is a feature that Bend inherited from its underlying model ("Interaction Combinators") that, in simple terms, allows us to combine multiple functions into a single superposed one, and apply them all to an argument "at the same time". In short, it allows us to call N functions at a fraction of the expected cost. Or, in simple terms: why parallelize when we can sha

zigforge

(async () => {
  /**
   * @param {import('@actions/github/lib/context').Context} context
   * @param {import('@actions/core')} core
   * @param {InstanceType<import('@actions/github/lib/utils').GitHub>} github
   * @param {import('@actions/exec')} exec
   * @param {import('@actions/glob')} glob
   * @param {import('@actions/io')} io
   * @param {NodeRequire} require
   */