Getting Started - Generative AI with Phi-3-mini: Running Phi-3-mini in Intel AI PC
In 2024, with the empowerment of AI, we will enter the era of AI PC. On May 20, Microsoft also released the concept of Copilot + PC, which means that PC can run SLM/LLM more efficiently with the support of NPU. We can use models from different Phi-3 family combined with the new AI PC to build a simple personalized Copilot application for individuals. This content will combine Intel's AI PC, use Intel's OpenVINO, NPU Acceleration Library, and Microsoft's DirectML to create a local Copilot.Exploring Microsoft's Phi-3 Family of Small Language Models (SLMs) with Azure AI
Dive into the world of small language models (SLMs) with Microsoft's Phi-3 family and learn how to integrate them into real-world applications using Azure AI. Discover step-by-step guidance, practical exercises, and a Gradio-powered chatbot interface to bolster your confidence in deploying and integrating AI. Keep learning and building with Azure AIBuilding your own copilot – yes, but how? (Part 1 of 2)
Today, there’s a wide range of built-in services and features designed to enable organizations and developers to build their own copilots, able to answer questions based on their own knowledge bases and data sources. But how to choose the most suitable one for each scenario? This blog post wants to provide an overview of some of the main choices you have in the Microsoft technology ecosystem. Part 1 will look into low-code tools and out-of-the-box features, while part 2 will focus on code-heavy and extensible options.Generative AI for Beginners - Full Videos Series Released!
With so many new technologies, tools and terms in the world of Generative AI, it can be hard to know where to start or what to learn next. "Generative AI for Beginners" is designed to help you on your learning journey no matter where you are now. We are happy announce that the "Generative AI for Beginners" course has received a major refresh - 18 new videos for each lesson.Training a Time-Series Forecasting Model Using Automated Machine Learning
Imagine having the power to predict the unpredictable, to foresee the future of your business, your health, or your environment. What if you could unlock the secrets of time itself? Welcome to the world of time-series forecasting, where machine learning meets magic. Join us to discover how Automated Machine Learning can revolutionize your understanding of the future and uncover the hidden patterns that shape our world. Read on to unlock the secrets of time, and unleash the power of prediction.Master Generative AI with Azure OpenAI Service: A Comprehensive Guide for Students
Dive into the cutting-edge technology of Generative AI with our detailed guide. From understanding the role of large language models to building powerful applications with Azure OpenAI Service, this guide has everything you need. Plus, participate in our Azure OpenAI Cloud Skills Challenge and compete with peers globally while enhancing your technical skills. Start your journey with Generative AI today!Unlock the Power of Small Language Models with Phi-3 and Azure AI Studio
Discover the exciting world of Small Language Models (SLMs) and learn how to get started with Phi-3, a revolutionary new architecture that redefines what's possible with language models. This step-by-step guide takes you through setting up your environment, installing Phi-3 models, building your first SLM-based application, and deploying it to the cloud.Train a simple Recommendation Engine using the new Azure AI Studio
The AI Studio Odyssey: Embark on a journey to the heart of personalization with our latest guide, “Train a Simple Recommendation Engine using the new Azure AI Studio.” Unlock the secrets of the all-new Azure AI Studio intuitive tools to craft a recommendation system that feels like magic, yet is grounded in data and user preferences. Ready to enchant your audience? Grab some popcorn and read on!
