Strife’s Post

Satyrn: A Modern Jupyter Client for Mac with AI-Enabled Inline Code Generation Mac users are accustomed to more specific, minimalist, and user-friendly applications. Jupyter is a web-based interface that prioritizes functionality over aesthetics, which might not feel as native or integrated with the Mac ecosystem as some dedic... https://lnkd.in/eMEtfHnf #AI #ML #Automation

OpenWebUI is one of the best web interfaces for interacting with LLMs in Ollama (and other OpenAPI-compatible models). We love it and use it daily, so we want to share 10 secret tips that will help you unlock its full potential. https://lnkd.in/e7DcMmmS P.S. What web interface do you use for interacting with LLMs?

🚀 Transforming Your Today with SMART QUANTUM AI! 🌐 At Quantum AI, we’re dedicated to revolutionizing web performance. Discover the latest techniques to optimize your website and enhance user experience. From image optimization and file minification to advanced caching strategies and modern technologies like HTTP/2 and PWAs, we’ve got you covered. 🔧 Key Techniques: Optimize Images: Use WebP and smart compression. Minify Files: Combine CSS, JavaScript, and HTML. Caching Strategies: Implement browser and server caching. Optimize Delivery: Load CSS/JS asynchronously. Modern Technologies: Leverage HTTP/2, service workers, and PWAs. Join us in transforming web performance and making every day better! 💡

🚀 Transforming Your Today with SMART QUANTUM AI! 🌐 At Quantum AI, we’re dedicated to revolutionizing web performance. Discover the latest techniques to optimize your website and enhance user experience. From image optimization and file minification to advanced caching strategies and modern technologies like HTTP/2 and PWAs, we’ve got you covered. 🔧 Key Techniques: Optimize Images: Use WebP and smart compression. Minify Files: Combine CSS, JavaScript, and HTML. Caching Strategies: Implement browser and server caching. Optimize Delivery: Load CSS/JS asynchronously. Modern Technologies: Leverage HTTP/2, service workers, and PWAs. Join us in transforming web performance and making every day better! 💡 #WebPerformance #WebOptimization #DigitalTransformation #TechTips #WebDevelopment #WebDesign #PerformanceOptimization #WebTech #BestPractices #TechInnovation #SmartQuantumAI #WebSpeed #UXDesign

This is mind-blowing. I recently found out about WebLLM, a seriously groundbreaking project that brings high-performance LLM inference directly to your web browser. How amazing you ask? - In-Browser Inference: Leverages WebGPU for hardware acceleration, enabling powerful LLM operations without server-side processing .    - OpenAI API Compatibility: Seamlessly integrates using familiar OpenAI-style APIs, supporting streaming, JSON-mode, and more .    - Extensive Model Support: Natively supports Llama 3, Phi 3, Gemma, Mistral, Qwen, and others .    - Custom Model Integration: Deploy your own models in MLC format for maximum flexibility .    - Web Worker & Service Worker Support: Optimize UI performance by offloading computations to separate threads . -- Technical Deep Dive: - Utilizes WebAssembly (just like Google) for optimal performance, especially in structured JSON generation . - Supports advanced features like logit-level control and seeding for reproducible outputs . - Implements efficient streaming chat completions using AsyncGenerator objects . - Offers modular design for easy integration with various UI components . This project opens up exciting possibilities for privacy-preserving AI applications and edge computing. Whether you're building chatbots, content generators, or AI-powered web apps, WebLLM provides the tools you need to bring LLM capabilities directly to the browser. Check out the GitHub repo for detailed documentation, examples, and of-course to contribute: https://lnkd.in/giF3nD2M

𝗔 𝗥𝗲𝗳𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗼𝗻 𝗥𝗲𝗳𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝟳𝟬𝗕 Well, the excitement around Reflection 70B turned into drama quickly. First, the claims suggested that 𝘔𝘢𝘵𝘵 𝘧𝘳𝘰𝘮 𝘵𝘩𝘦 𝘐𝘛 𝘥𝘦𝘱𝘢𝘳𝘵𝘮𝘦𝘯𝘵 beat the likes of OpenAI and Anthropic, with his model hailed as the top open-source LLM. But soon, cracks emerged. The public release didn’t match the results from private APIs, and skepticism started to spread. 🤔 A few major takeaways and reminders: 𝟭. 𝗟𝗮𝗰𝗸 𝗼𝗳 𝘁𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝗰𝘆: Relying on APIs has always been tricky. 𝟮. 𝗚𝗼𝗼𝗱𝗵𝗮𝗿𝘁'𝘀 𝗟𝗮𝘄: "When a measure becomes a target, it ceases to be a good measure." Well, as a data scientist would say, don't get excited when overfitting. 𝟯. 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗯𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝘀: Relying on internal benchmarks—instead of just public ones—ensures models are tested against real-world tasks and contexts that matter to you. 𝟰. 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻-𝗳𝗶𝗿𝘀𝘁 𝗺𝗶𝗻𝗱𝘀𝗲𝘁: To build production-ready LLMs, adopting an evaluation-first mindset is crucial. Tools like 𝗛𝟮𝗢 𝗘𝘃𝗮𝗹 𝗦𝘁𝘂𝗱𝗶𝗼 (https://lnkd.in/ekEM2sq4) help organizations run detailed internal evaluations, providing the transparency needed to ensure models are robust and reliable for the task at hand. #LLM #LLMEvaluation #Reflection

the moment were we (standard users) can get rid of all the prompting hocus-pocus is getting closer. prompt engine for claude https://lnkd.in/d_vaMyF9

🚀 Exciting news from Black Forest Labs ! The latest update to FLUX1.1 [pro] now brings high-resolution capabilities, delivering image resolutions up to 4MP with a lightning-fast generation time of only 10 seconds per sample. This upgrade transforms FLUX1.1 into a powerful tool for those needing top-notch image clarity and efficiency, from web devs to creative pros. Curious? Check out the BFL API and experience the difference: https://docs.bfl.ml/ #innovation #AI #imagegeneration #tech #genai

🎉 Announcing DocDocGo version 0.2! Your favorite "infinite" research chatbot is growing up - let's celebrate by describing the new features. 🚀 1. DDG finally has a logo that's not just the 🦉 character! Its design (https://lnkd.in/gtXfSuas) continues the noble tradition of trying too hard to be clever, starting with the name "DocDocGo" 😁 Streamlit continues to ship - the new `st.logo` feature arrived just in time! 🤖 2. Re-engineered collections With over 150 public collections and growing, it was time to manage them better. Now, collections track how recently they were created/updated. Use: - `/db list` - see the 20 most recent collections (in a cute table) - `/db list 21+` - see the next 20, and so on - `/db list blah` - list collections with "blah" in the name DDG will remind you of the available commands when you use `/db` or `/db list`. Safety improvement: Deleting a collection by number, e.g. `/db delete 42`, now only works if it was first listed by `/db list`. 🏵 3. Default modes Tired of typing `/reseach` or `/research heatseek`? Let your fingers rest by selecting a default mode in the Streamlit sidebar. You can still override it when you need to - just type the desired command as usual, for example: `/help What's the difference between regular research and heatseek?`. 🌷 4. UI improvements The UI has been refreshed with a new intro screen that has: - The one-click sample commands to get you started if you're new - The new and improved welcome message Take the new version for a spin and let me know what you think! 🚀 https://lnkd.in/gu4GKHWH

Unexpected side effect of having an AI sidekick: you build "extravagant" things for small internal quality of life improvements, because it's just so easy. Like a custom directory picker web component that talks to your PC over websockets, because the default web browser one sucks. 15 minutes so that I don't have to copy and paste directory paths all the time. In a previous life, that would have taken days to build.