KGHague

function ConvertTo-PackedGuid {
    <#
	.SYNOPSIS
		https://gist.github.com/MyITGuy/d3e039c5ec7865edefc157fcd625a20a
        Converts a GUID string into a packed globally unique identifier (GUID) string.
	.DESCRIPTION
		Takes a GUID string and breaks it into 6 parts. It then loops through the first five parts and reversing the order. It loops through the sixth part and reversing the order of every 2 characters. It then joins the parts back together and returns a packed GUID string.
	.EXAMPLE
		ConvertTo-PackedGuid -Guid '{7C6F0282-3DCD-4A80-95AC-BB298E821C44}'
	

texchi2

Setting up a Remote AI Code Assistant: Ollama + Continue in VS Code

Figure 1: Remote development setup with MacStudio as server and VS Code integration

A step-by-step guide to creating a powerful, private AI coding assistant using Ollama and Continue extension in VS Code, with remote server capabilities.

Introduction

ruvnet

How To Train Your Own AI Models for Free Using Google AI Studio

Introduction: Why Fine-Tuning AI Models Matters

This year, we've seen some remarkable leaps in the world of Large Language Models (LLMs). Models like O1, GPT-4o, and Claude Sonnet 3.5 have shown how far LLM capabilities have come, pushing the boundaries of coding, reasoning, and self-reflection. O1, in particular, is one of the best models on the market, known for its self-reflection capabilities, which allows it to iteratively improve its reasoning over time. GPT-4o offers a wide range of capabilities, making it incredibly versatile across tasks, while Claude Sonnet 3.5 excels at coding, solving complex problems with higher efficiency.

What many people don’t realize is that these high-performing models are essentially fine-tuned versions of underlying models. Fine-tuning allows these models to be optimized for specific tasks, making them more useful for things like analysis, coding, and decision-making

mayurchhapra

🚀 GitHub Emoji Cheat Sheet.

Unlock the expressive power of emojis on GitHub with our comprehensive Emoji Cheat Sheet! Easily enhance your repositories, pull requests, and issues with the perfect emojis for every situation.

From 👋 greetings to 🎉 celebrations, find the emojis that speak louder than words. Boost collaboration, add flair to your Markdown files, and make your GitHub experience more fun and engaging.

Explore the vast world of emojis and level up your communication game! 🌐✨

Table of Contents

karubits

cd /tmp/
wget --user-agent="Mozilla" https://dl.dell.com/FOLDER09667202M/1/Dell-iDRACTools-Web-LX-11.1.0.0-5294_A00.tar.gz
tar -xvf Dell-iDRACTools-Web-LX-11.1.0.0-5294_A00.tar.gz
cd iDRACTools/racadm/UBUNTU22/x86_64
sudo dpkg -i *.deb # there are multiple debs


# Use racadm to get started. 
sudo racadm

bemijonathan

Customizing CI Code Review with CodeRabbit

Overview

CodeRabbit allows developers to customize your ai review review process by defining the settings in a coderabbit.yml file. This document provides a brief overview of the keys used in the coderabbit.yml file and their functions. please note that the default parameters in the schema will be used if values are not provided.

Sample coderabbit.yml File

RubenKelevra

Recommended Extentions:

uBlock Origin

https://addons.mozilla.org/en-US/firefox/addon/ublock-origin/

Settings

Make sure the following options are off:

• Disable pre-fetching

goproslowyo

What does the problem look like?

Because of this bug the libnet1 dpkg installation fails.

$ sudo dpkg -i --force-overwrite /var/cache/apt/archives/libnet1_1.1.6+dfsg-3.1build2_amd64.deb
dpkg-deb: error: archive '/var/cache/apt/archives/libnet1_1.1.6+dfsg-3.1build2_amd64.deb' uses unknown compression for member 'control.tar.zst', giving up
dpkg: error processing archive /var/cache/apt/archives/libnet1_1.1.6+dfsg-3.1build2_amd64.deb (--install):
 dpkg-deb --control subprocess returned error exit status 2
Errors were encountered while processing:

TolgaBagci

VMware macOS Big Sur 11 - VMX Code

smbios.reflectHost = "TRUE"
hw.model = "MacBookPro14,3"
board-id = "Mac-551B86E5744E2388"
smc.version = "0"

nerdCopter

Apex F7 Flight Controller:

• Built-In Blue-Tooth module for easy configuration from your mobile
• USB Type-C connector
• DJI Compatible connector
• Optional secondary MPU connection
• Barometer
• Main MPU-6000 (Optional Secondary ICM-20602)
• 5 UARTS
• Betaflight Target APEXF7