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.Exploring the Power of Codespaces for Student Developers
Say goodbye to the hassle! With GitHub Codespaces, you can code from anywhere, on any device, without worrying about installations or configurations. Whether you’re working on group projects or solo assignments, Codespaces gives you a fully set-up environment in just a few clicks.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.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.
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.Liam Hampton code.talks Session Resources
London Reactor Meetup | AI Edition September 2023 Hey Everyone! Thanks for joining my session at code.talks! Here you can find the resources that I shared and my contact details. Resources: Azure Developer CLI September 2023 Release Getting started with the Azure Developer CLI Azure Developer Templates GitHub Developer Tools (Copilot, Codespaces etc.) Microsoft for Startups Founders Hub Benefits Other Relatable resources: Microsoft Reactor Events Microsoft Reactor Meetup Contact the speakers: Liam Hampton, Senior Cloud Advocate@ Microsoft Twitter (X) LinkedInDébuter avec VS Code, Codespaces et Copilot
Il existe des gadgets qui sont rigolos, et il y a les vrais outils. Visual Studio Code, Copilot et Codespace font définitivement partie du deuxième groupe: les vrais outils. Visual Studio, ou VSCode pour les amis est un outil qui est devenu un standard dans le monde du développement. Il est gratuit, open source et disponible sur Windows, Mac et Linux. Il est aussi disponible dans le cloud avec Codespaces. Mais je vais trop vite, je m'emballe...
