Today, we are releasing a new set of pocket-sized multimodal AI models, trained in partnership with Nebius and already available on Hugging Face 🤗 - Matryoshka style multimodal embeddings ranging from 64 to 256 and 768 dimensions 🖼️ - Improved multimodal chat in 1.2B parameters, aligned with Direct Preference Optimization 💬 - ONNX backend, making PyTorch dependency optional for lightning-fast deployments ⚡ This marks our biggest AI release to date, paving the way for real-time multimodal perception and personalized assistants that can run on any device, including Windows, Linux, macOS, iOS, Android, and most wearable and IoT devices. Tuning with Direct Preference Optimization allowed us to grow our "Multi-Modal Evaluation" (MME) perception score from 863 to 1049 for the same baseline model. Unexpectedly significant for us and visible to the naked eye. Avoiding PyTorch dependency allowed us to shrink the image size from over 5 GB to under 500 MB and will shrink further. Training with Matryoshka losses allows you to crop resulting embeddings, dropping up to 92% of the resulting dimensions but often retaining 99% of the original accuracy. The new guide also covers the recommended quantization and down-casting approaches, helping you export `f32`, `f16`, `i8`, and binary vectors and use them in conjunction with USearch and the rest of our hardware-friendly ecosystem of Search & AI infra 🤗 New models: https://lnkd.in/dpfGcV59 GitHub repository: https://lnkd.in/dTrZ5Q2d
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BioPharma & HealthTech Competitive Strategy & Insights | Digital & AI Solutions | Gene & Cell Therapy | Vaccines
Report: Microsoft is “experimenting” with ways to work AI into bedrock Windows >>> lqventures.com #digitalhealth #socialmedia #digitalmarketing #healthtech #mhealth #AI #industry40 #IoT
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Michael's talk at TexasLinuxFest navigate the shift from Python to C, C++, & Rust for leaner, faster #LLM apps. Discover how frameworks like llama2.c, whisper.cpp, & llama.cpp are evolving sans Python, embracing #WebAssembly for unparalleled performance & portability across Linux IoT devices. 💡 Learn about deploying llama2 models in Wasm & crafting LLM agents in Rust for efficient, scalable apps. See LLMs apps in action within #Wasm sandboxes, from code review tools to knowledge agents. https://lnkd.in/g_Mbqj-n
Run LLMs on all your Linux IoT devices
2024.texaslinuxfest.org
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Thrilled to share that I've successfully completed the C and Embedded C course at the National Telecommunication Institute - المعهد القومي للاتصالات The program covers the following topics: 🌐 Internet of Things (IoT): 👉Introduction to IoT. 👉IoT Architectures and Protocols. 👉MQTT Protocols for IoT. 👉Microcontroller Architectures. 👉Sensors/Actuators interfacing for IoT. 👉Debian Linux (Raspbian) Installation and Booting. 👉Raspberry Pi Programming (C and Introduction to Python). 👉Python and C Programming (Basic Syntax, Test Programs). 👉IoT Broker and Clients Implementation. 👉Image Processing Applications using Python and OpenCV. 👉Packet Tracer for Sensors and PT Microcontroller. 👉IoT Platform Implementation based on MQTT. 👉IoT-based Projects (e.g., Smart City, Smart Home, Smart Factory, E-health over IoT). 🤖 Artificial Intelligence (AI): 👉Introduction to AI and its history. 👉Course Logistics. 👉Object-Oriented Programming. 👉Python Programming (Numpy and Pandas Packages). 👉Basics of Tensorflow (Tensorflow, Tensorboard, TensorFlow Graphs). 👉Machine Learning Fundamentals. 👉Linear Models, Perceptron, K Nearest Neighbors. 👉Advanced Machine Learning Models. 👉Neural Networks, SVMs, Decision Trees, Unsupervised Learning. 👉Convolutional Neural Networks (CNN). 👉Hardware-Accelerated Deep Learning. 👉Running TensorFlow Operations on CPUs vs. GPUs. 👉CNN on GPUs. 👉Mini-project on AI.
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Entrepreneur at Radhey Electricals & Electronics | Innovative Computer Science Engineer | Salesforce Developer | Aspiring Java Full Stack Developer | IoT Innovator | MSIC Winner | RTMNU Member | Certified Yoga Instructor
🚀 Excited to share a major milestone! 🚀 After a long period of hard work and dedication, I've successfully developed a smart device equipped with various sensors like motion sensors and temperature & humidity sensors. 🌡️ Here’s what it can do: * Communicates with my AWS server (Debian Linux) via the MQTT protocol 📡 * Uses a static public IP and my domain pranaydhoble.xyz 🌐 * Hosts a Mosquitto broker on my web server 🔐 * Utilizes Django framework and Python programming for device communication and data handling 🐍 * Secured with SSL certificates from Let's Encrypt 🔒 I can now control home appliances like lights, fans, AC, or anything else you can think of and continuously read data like temperature and motion from anywhere in the world using your desktop, mobile, or tablet, as long as you have network access. 📱💻🌍 Additionally, I wrote Python code to send email notifications to authorized persons when motion is detected via SMTP protocol. 📧 I can also access this device from my phone through Google Assistant, allowing: * SYNCing with Google Home 🏡 * QUERY, EXECUTE, and DISCONNECT commands 📱 I'm thrilled to announce that I can now publish and read data through my static web page and control the device seamlessly through Google Assistant. This achievement represents a significant leap in my IoT journey, and I’m excited about the endless possibilities it brings! 🎉 #IoT #SmartDevices #AWS #MQTT #Django #Python #LetsEncrypt #GoogleAssistant #Innovation #Technology #Achievement
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Did 5 Popular Programming Languages Used in IoT Projects catch your attention? 1. Python: Known for its simplicity and versatility, Python is widely used in IoT projects for data analysis and machine learning. 2. C: The backbone of many IoT devices, C is a powerful and efficient programming language that allows for low-level hardware control. 3. Java: With its platform independence and strong community support, Java is commonly used in IoT projects for its scalability and reliability. 4. JavaScript: Ideal for developing web-based IoT applications, JavaScript allows for easy integration with IoT devices. 5. Swift: Specifically designed for iOS devices, Swift is a popular choice for IoT projects that involve Apple products. Ready for your next IoT project? Choose the right programming language for your needs and get started today! https://lnkd.in/gfykAXWK #automation #datacollection #dataconnectors #IIOT #hmi #scada
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Our newest panel pc features dual camera inputs for machine vision customization. The mainboard of the panel PC supports two MIPI CSI camera inputs with two Image Signal Processor (ISP) channels, providing customization options to combine AI and embedded vision systems together for intelligent vision systems and vision-based machine learning applications. . . . . #edgeai #ai #machinelearning #ml #panelpc #panelpcs #iot #engineering #engineer #yocto #embedded #linux #debian #touchscreen #machinelearning
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🔍 Let's Uncover U-Boot in Simple Language! 🚀 Imagine you're putting Android on a tiny computer. U-Boot is like the conductor of a tech orchestra. It tells all the parts how to start playing together. Bootloaders are the unsung heroes of embedded systems, and U-Boot is no exception! U-Boot, short for Universal Bootloader, plays a crucial role in the startup process of many devices, from routers to smartphones. 🚀 What is U-Boot? U-Boot is an open-source bootloader that initializes hardware, loads the operating system, and provides a way to interact with the device at a low level. It's a fascinating piece of software that often goes unnoticed but is essential for the functioning of our devices. 🌐 Universal Yet Customizable One of U-Boot's strengths is its adaptability. It's universal, working on various hardware platforms, but also highly customizable. Developers can tweak it to suit specific needs, making it a powerful tool for device manufacturers. 🧩 Key Features: - Supports multiple architectures - Network boot capabilities - Extensive command-line interface - Support for various file systems - And more! 💡 Why It Matters Understanding U-Boot is crucial for anyone working on embedded systems or IoT projects. It can save you from potential headaches during development and troubleshooting. 💻 Learning Resources If you're eager to dive into U-Boot, check out the official documentation, community forums, and GitHub repository. Join the conversation, and let's unlock the bootloader's secrets together! #UBoot #EmbeddedSystems #Bootloaders #OpenSource #Tech #IoT #Developers #Embedded #SoftwareDevelopment #UBootBootloader #TechExplained #EmbeddedSystems #Android #SimplifiedTech
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**Arduino** is an open-source electronics platform based on easy-to-use hardware and software. Here are some benefits of using Arduino: 1. **Inexpensive**: Arduino boards are relatively inexpensive compared to other microcontroller platforms. The least expensive version of the Arduino module can be assembled by hand, and even the pre-assembled Arduino modules cost less than $50¹. 2. **Cross-platform**: The Arduino Software (IDE) runs on Windows, Macintosh OSX, and Linux operating systems. 3. **Simple, clear programming environment**: The Arduino Software (IDE) is easy-to-use for beginners, yet flexible enough for advanced users to take advantage of as well. 4. **Versatility**: Arduino boards are versatile and adaptable, suitable for a broad range of projects, including robotics, IoT, wearable devices, and more. 5. **Supportive community**: The Arduino community is vast and active, offering a wealth of learning resources, tutorials, and sample codes⁴⁵. Whether you're a student, hobbyist, artist, or professional, Arduino provides an accessible platform for creating innovative projects and learning about electronics and programming.
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My new blog on medium is out for the new ones how they can configure raspberrypi4b and communicate with it using serial communication. #raspberrypi #IoT #serial #embeddedsystems
How to serially connect to Raspberrypi-4b to send or receive data through UART.
medium.com
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AI Solutions Manager at Nebius AI I Cloud Infrastructure for Large-Scale ML Workloads
3moThank you for the partnership Unum !