Arcjet’s Post

🌐🦀 I've just made an asynchronous Rust based Hyper Text Transfer Protocol cli tool! Iron Curl is an asynchronous Rust CLI tool designed to simplify HTTP request handling by providing a versatile interface for making requests, processing responses, and handling HTTP methods. 🔍 Key Features: 🪛 Versatile HTTP Method Support: Equipped to handle GET, POST, PATCH, PUT, or DELETE requests. 🪡 Customizable Requests: Tailor headers and body content precisely. 🔀 Asynchronous for Performance: Leverages tokio runtime for efficient, non-blocking operations. 🗣️ User-Friendly Command Line Interface: Built with clap for an intuitive developer experience. #rust #rustlang #curl #clitools #http #internetprotocols

In this tutorial, we’ll explore building a screen parsing agent using GPT-4o and OmniParser. Our goal is to demonstrate locking a computer, specifically a MacOS device, using this agent. https://lnkd.in/gWssa-MS #agenticai #omniparser #llm #automation #productivityhack #gpt4o

Running LLMs on a Raspberry Pi 5. Running Large Language Models on a affordable $100 Raspberry Pi kit with Docker running on Raspibian OS takes, just there 3 commands :) $ docker pull ollama/ollama:0.1.27 $ docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama:0.1.27 $ docker exec -it ollama ollama run llama2 Thanks to Ollama and Llama #ollama #llama2 Checkout these screenshots when running Llama2B on a Raspberry Pi 5 where internet traffic was blocked after setup was completed.

🚀 Elevate Your Computer Vision Projects with YOLOv5 and PyTorch!🚀 🌟 Why YOLOv5? High Accuracy: Achieve top-tier results with minimal parameters. Speed: Optimized for both training and inference, making it ideal for real-time applications. 🔧 Installation Made Easy 🏆 Results & Pretrained Checkpoints 📊 Demo Check out the demo and additional resources to see YOLOv5 in action! ⭐ Star Us on GitHub! If you find this repository useful, don't forget to give us a ⭐ on GitHub! Your support helps us improve and add more features. Source code: https://lnkd.in/dHnJMdH8 ✅ ENJOY LEARNING👍👍

Check out my video tutorial on how to automatically repair DOKS (DigitalOcean Kubernetes as a Service) Worker Nodes using Digital Mobius. https://lnkd.in/d_PVwB9K

A few weeks ago the first version of mlx-swift was released. This allows you to make use of Apple's MLX framework from Swift. Allowing you to both run and train AI models using Swift while utilizing Apple silicon and the unified memory architecture that comes with it. The best way to get started if you're a Swift developer is to check out the https://lnkd.in/gP35ciWQ repo and run the LLMEval project. You can then alter the target model in the source to try any of the models available on hugging face. You can find models converted, quantized and ready to be run with MLX here: https://lnkd.in/gY4VKYHN If anyone is interested in how you convert models drop a comment and i'll do a followup post.

Our recent Media over QUIC (#MoQ) Online Workshop brought in a wave of insightful questions—so many that we couldn’t answer them all live! That’s why we’ve recorded a Q&A follow-up featuring Mike English, Senior Software Developer at Norsk by Id3as, to answer your remaining questions. Here’s a sneak peek at the questions we tackled: - Is the trade-off between layered codecs and compression efficiency worth it in most cases? - Who’s contributing to MoQ development, and what’s the roadmap? - How does ABR work in MoQ—does the client handle throughput, or does the server assist? - What happens to high-priority objects in MoQ if they require retransmission? - Are you also considering adding stream failover mechanisms similar to Content Steering? - How does MoQ handle CDN caching and scale live video for large audiences? 🎬 Check out the Q&A on-demand or the workshop on-demand here: https://lnkd.in/exikcP5R

I’m happy to share that I earned a Command Line certificate from Codecademy. To put what I’ve learned into practice, I created a short YouTube tutorial covering the basics of the command line in under 30 minutes. The video includes file navigation, manipulation, and setting up custom profiles. If you're interested, you can check it out here: https://lnkd.in/eGwsJtAM Certificate: https://lnkd.in/eKRprsay #CommandLine #Codecademy #TechSkills #YouTubeTutorial #Learning

Nice clean implementation of Byte-Pair Encoding just released from Karpathy. It's a great simple implementation and worth looking at to get a better understanding tokenization in LLMs.

MQTT is a lightweight, publish-subscribe, machine to machine network protocol for message queue/message queuing service Here is a simple chat application demo using MQTT. https://lnkd.in/g9jVvy37