#other#agent#llm#rag
Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research.
https://github.com/datawhalechina/happy-llm
I Built a Mesh Network Across the World | Data Slayer
That escalated quickly...
In my last video, I introduced #Reticulum—an open-source protocol that could allow anyone to build networks without relying on traditional internet infrastructure. But there was one big question left unanswered: how far can it actually go?
In this video, I start with a simple setup inside my house and begin pushing the limits—testing communication across rooms, neighborhoods, and beyond using WiFi HaLow and #mesh networking. The goal is simple: see if it’s possible to send real messages across distance without depending on ISPs, centralized servers, or the internet as we know it.
#Network#MeshNetwork
The Internet, Reinvented.
In this video, I build a #Reticulum#RNode and prove that completely different radios — #LoRa and Wi-Fi — can communicate through a hardware-agnostic networking stack. Reticulum routes traffic above the radio layer, automatically bridging dissimilar frequencies, interfaces, and modulation types. I then run it over Wi-Fi HaLow Haven nodes to create a long-range, encrypted IP #mesh with no traditional infrastructure.
Finally, I push it further by running #ATAK across the network, demonstrating a fully open-source, decentralized communication stack in action.
Checkout https://rmap.world/
You can install rnode software on your esp32/nrf52 based meshtastic/meshcore hardware