Addition to the $150 Private LTE Network

The first addition, a awesome 4G LTE router that runs a flavor of OpenWRT, anti-forensics blue merle plugin and supports CBRS bands (aka the $150 private LTE network). First documented case of this being supported!

Setting up your own 4G LTE Network (<$150) for your Embedded System & IoT Hacking Lab via Open5GS + CBRS eNodeB on Ubuntu 24.04

Step by Step instructions to setting up your own private LTE network for cheap, great for home labs, hacking and penetration testing.

Unbricking and Flashing the Yardstick One

Bricked your Yardstick One? This step-by-step guide shows how to recover it using its cousin, the GreatFET, by erasing, flashing, and verifying full Sub 1 GHz sniffer functionality.

The quickest and simplest guide to spinning up a powerful local AI stack. Part 7 – Current Stack – Docker Deploy

Going to keep this post extremely brief. I have published the current stack and how to spin it up yourself on my GitHub. Next Part will be implementing Local Agentic RAG with Crawl4AI! Check out the repo HERE

The quickest and simplest guide to spinning up a powerful local AI stack. Part 6 – Open-WebUI To Crawl4AI – Chat

Step by Step instructions on how to Integrate Crawl4AI as a tool within Open-WebUI to be used by any model.

The quickest and simplest guide to spinning up a powerful local AI stack. Part 5 – Open-WebUI To Crawl4AI – Local Files

Implementing a Open-WebUI Function to parse user input for URLs, pass them to Crawl4AI, parse its output and save it into multiple files for later use.

The quickest and simplest guide to spinning up a powerful local AI stack. Part 4 – Transcription via Whisper

So it turns out that OpenWeb-UI comes with a form of whisper integration out of the box. So I'm going to cover what changes you should make to make it better, and then I'll include a bonus of a n8n + docker-compose you can use to run a whisper-server + n8n test workflow for it. … Continue reading The quickest and simplest guide to spinning up a powerful local AI stack. Part 4 – Transcription via Whisper →

The quickest and simplest guide to spinning up a powerful local AI stack. Part 3 – Image Generation via Stable Diffusion

So as this is the first part that integrates things that aren't included out of the box, I'm going to build these parts out separately and then at the end I'll release my full docker-compose.yml which will have all the pieces. With that in mind, lets get started. First you should go to your users … Continue reading The quickest and simplest guide to spinning up a powerful local AI stack. Part 3 – Image Generation via Stable Diffusion →

The quickest and simplest guide to spinning up a powerful local AI stack. Part 2 – SearXNG

In this part I'll keep it short and sweet and just cover how to get Searxng going and connected to OpenWeb-UI. So you want to comment out the following lines within the docker-compose.yml cap_drop: - ALL and then restart the stack: python3 start-services.py --profile=gpu-nvidia Once it's all up, remove the comments and restart it again. … Continue reading The quickest and simplest guide to spinning up a powerful local AI stack. Part 2 – SearXNG →

The quickest and simplest guide to spinning up a powerful local AI stack. Part 1

As I delve deeper into AI, I got tired of the Jan's and LLM Studio. I have a handful of goals in mind, but of course to start it's important to get local stack. Thankfully the tool suites have exploded including docker composes. My goal after a prototype is RAG support. Anything like integrating Whisper, … Continue reading The quickest and simplest guide to spinning up a powerful local AI stack. Part 1 →