greenido

// Find all buttons with data-testid="job-artifacts-delete-button"
const sleep = (ms) => new Promise((resolve) => setTimeout(resolve, ms));

// Function to click on the second button within the pop-up
const clickSecondButtonInPopup = async () => {
  const secondButton = document.querySelector('.btn.js-modal-action-primary.btn-danger.btn-md.gl-button');
  // If the second button is found, click on it
  if (secondButton) {
    secondButton.click();
  } else {

greenido

#!/bin/bash

# System Maintenance Script

# Create log file
log=/var/log/maintenance.log

# Print start status 
echo "$(date) - Starting system maintenance" >> $log

greenido

#!/bin/bash 

# Set the variables. 
server_ip="192.168.1.100" 
username="user" 
password="passwd" 
source_directory="/home/user/my_directory" 
destination_directory="/opt/my_directory" 

# Connect to the server. 

greenido

#!/bin/bash 
# This script will back up all the files in the current directory to a .tar.gz file. 
# Get the current date and time. 

date +"%Y-%m-%d_%H:%M:%S" 

# Create a backup file. 
backup_file="backup_$(date +"%Y-%m-%d_%H:%M:%S").tar.gz" 

# Tar up all of the files in the current directory. 

greenido

#!/usr/bin/env zx

await $`cat package.json | grep name`

let branch = await $`git branch --show-current`
await $`dep deploy --branch=${branch}`

await Promise.all([
  $`sleep 1; echo 1`,
  $`sleep 2; echo 2`,

greenido

import axios from 'axios';
import fs from 'fs';

// Artifactory configuration
const ARTIFACTORY_URL = 'https://your-artifactory-url.com';
const ARTIFACTORY_REPO = 'your-repo-name';
const ARTIFACTORY_USERNAME = 'your-username';
const ARTIFACTORY_API_KEY = 'your-api-key';

// LLM model file path

greenido

import requests

# Artifactory configuration - Change it to your own settings
ARTIFACTORY_URL = 'https://your-artifactory-url.com'
ARTIFACTORY_REPO = 'your-repo-name'
ARTIFACTORY_USERNAME = 'your-username'
ARTIFACTORY_API_KEY = 'your-api-key'

# LLM model file path
LLM_MODEL_FILE = 'path/to/your/llm_model.tar.gz'

greenido

🤖 AI/LLMs Research Notes

🛠️ Frameworks

• LangChain is a framework for developing applications powered by language models.
• LLM Engine - The open source engine for fine-tuning and serving large language models (is the easiest way to customize and serve LLMs):

Local LLMs (mostly on MacOS M1)

• https://replicate.com/blog/run-llama-locally
• https://ollama.ai/blog/run-llama2-uncensored-locally

greenido

import { SkyMass } from "@skymass/skymass"; //  "@skymass/skymass": "^0.3.7"
import "dotenv/config";

import pgPromise from "pg-promise";

const db = await initDB(); // pgp(process.env["CONNECTION_DB"]);
const sm = new SkyMass({ key: process.env["SKYMASS_KEY"] });

//
// function to initialize the database - Some random names, numbers and other stuff so it will be a 'full table'

greenido

import java.util.Scanner;

/**
 * This program asks the user for their name, age, and favorite color.
 * It then prints a report to the console.
 */
public class QA {
    public static void main(String[] args) {
        Scanner scanner = new Scanner(System.in);