Building Intelligent Applications with Local RAG in .NET and Phi-3: A Hands-On Guide
Let's learn how to do Retrieval Augmented Generation (RAG) using local resources in .NET! In this post, we’ll show you how to combine the Phi-3 language model, Local Embeddings, and Semantic Kernel to create a RAG scenario.
Modernize DevSecOps and GitOps journey with Microsoft’s Unified solution (Azure DevOps + GitHub)
Modernize your DevSecOps and GitOps journey with Microsoft’s Unified solution and best-in-class tools (Azure DevOps + GitHub) to Simplify, Automate, Secure entire software supply chain including containers, and Govern each phase with shift-left approach.
What is GitHub Codespaces and how can Students access it for free?
GitHub Codespaces is a new service that is free for anyone to develop with powerful environments using Visual Studio Code. In this post, we'll cover how you can make use of this new technology and take advantage of its most powerful features.The Power of AI in Grading Handwriting Assignments
Are you tired of the tedious task of manually grading papers as an educator? Do you long for a more objective and efficient way to score your students' assignments? Look no further than the revolutionary power of AI and machine learning. Our scoring package utilizes OCR, embedding, and similarity algorithms to automatically score student answers, eliminating the need for manual grading. The package also includes a user-friendly web form that enables educators to input scores and track grading progress, further streamlining the process. By using this package, educators can reduce their workload, while ensuring that the grading process remains objective and fair. If you're ready to embrace this exciting new technology, stay tuned for the release of our advanced scoring package. Say goodbye to tedious grading and hello to a more efficient and objective way of scoring student assignments.How to Optimize your Codespaces: Pro-tips for managing quotas
Now that GitHub Codespaces is free for anyone, you might be surprised to see how fast you can hit the free quota. Here are four things you can do to make the most out of the 90 hours you get every month (and 180 hours if you are a student).Tiny But Mighty: Unleashing the Power of Small Language Models 🚀
While Large Language Models (LLMs) like GPT-4 dominate headlines with their extensive capabilities, they often come at the cost of high computational requirements and complexity. For developers and organizations looking to implement AI solutions on edge devices or with limited resources, Small Language Models (SLMs) are emerging as a practical alternative. SLMs are not just "smaller" versions of their larger counterparts—they're designed to be faster, more efficient, and adaptable for specific tasks. With fewer parameters and lower computational needs, SLMs open the door to deploying AI on mobile devices, IoT systems, and edge environments without compromising performance. What You Stand to Learn 🧠 Introduction to Microsoft's AI Ecosystem Discover Microsoft's end-to-end AI development tools, from Azure AI Services to ONNX Runtime, enabling efficient and secure deployment of AI models across cloud and edge environments. The Advantages of SLMs over LLMs SLMs are game-changers for edge AI applications, providing faster training and inference times, reduced energy costs, and scalability across diverse devices. Hands-On with Phi-3 and ONNX Runtime Experience live demonstrations of SLMs in action with tools like Phi-3 and ONNX Runtime, showcasing how to fine-tune and deploy models on mobile devices, IoT, and hybrid cloud environments. Responsible AI Practices Understand how to safeguard your AI applications with Microsoft's Responsible AI toolkit, ensuring ethical and trustworthy deployments. Watch the Full Session 👨💻 📅 Date: December 12, 2024 ⏰ Time: 4 PM GMT | 5 PM CEST | 8 AM PT | 11 AM ET | 7 PM EAT A session packed with live demos, practical examples, and Q&A opportunities. Register NOW | Events | Microsoft Reactor Agenda 🔍 Introduction (5 min) A brief overview of the session and its focus on SLMs and LLMs. Microsoft AI Tooling (5 min) Explore the latest tools like Azure AI Services, Azure Machine Learning, and Responsible AI Tooling. How to Choose the Right Model (10 min) Key considerations such as performance, customizability, and ethical implications. Comparing SLMs vs LLMs (10 min) The strengths, weaknesses, and best use cases for both Small and Large Language Models. Deploying Models at the Edge (10 min) Insights into optimizing AI for mobile, IoT, and edge devices. Q&A Addressing participant questions about AI development and deployment.How to Create Your Own Portfolio Website in Minutes with GitHub Codespaces and Blazor
Creating a portfolio website is essential for showcasing your skills and accomplishments to potential employers or clients. However, setting up a website can be time-consuming and require technical expertise. Fortunately, with GitHub Codespaces and Blazor, you can create and customize your own portfolio website in just a few minutes, without installing any tools or worrying about lengthy environment setup. Our .NET Blazor Portfolio Site project template is perfect for beginners and experienced coders alike, and you can deploy your website with Azure Static Web Apps or GitHub Pages. This project is easily customizable and perfect for anyone looking to create a portfolio site, learn web development, or test out Codespaces. Follow our instructions to launch your Codespace, customize your website, and deploy it. No experience necessary – start today!
