🚨 BREAKING: Microsoft just released a brand-new 18-episode series — “Generative AI for Beginners” 🎓🤖 Perfect for beginners, developers, and AI enthusiasts eager to build a strong foundation in generative AI. Here’s what you need to know (Save this 🧵👇):

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🚨 BREAKING: Microsoft just released a brand-new 18-episode series — “Generative AI for Beginners” 🎓🤖 Perfect for beginners, developers, and AI enthusiasts eager to build a strong foundation in generative AI. Here’s what you need to know (Save this 🧵👇):

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Episode 15: Open-Source Models & Hugging Face Discover how to use and fine-tune open-source language models on Hugging Face or Azure AI Studio — with key comparisons to proprietary models. 🔗

Episode 14: Retrieval Augmented Generation (RAG) and Vector Databases – Bethany Jepchumba covers grounding LLMs with Retrieval Augmented Generation (RAG), explaining its basics, benefits, vector database setup, and app integration. https://t.co/VQaGkLBFJR

Episode 13: The Generative AI Application Lifecycle – Pablo Lopes examines the AI lifecycle, emphasizing the shift from ML Ops to LLM Ops with tools for developing, deploying, monitoring, and improving AI solutions. https://t.co/8CuUOgB2y3

Episode 12: Securing Your Generative AI Applications – Discusses AI security, outlining risks and threats to generative AI and offering methods and best practices to secure these systems. https://t.co/I52O9HQRr2

Episode 11: Designing UX for AI Applications – Bethany Jepchumba emphasizes designing AI app experiences by prioritizing user trust and transparency, understanding user needs, and fostering collaboration and feedback. https://t.co/BeoCxF62P5

Episode 10: Integrating External Applications with Function Calling – Korey Stegared-Pace discusses function calling in LLMs, explains implementing an OpenAI function call, and shows integration into applications to enhance AI capabilities. https://t.co/JPp9XZ5fHD

Episode 9: Building Low-Code AI Applications – Someleze Diko showcases Microsoft Power Platform's low-code tools with generative AI, featuring Copilot and AI Builder, to build AI-powered apps and workflows with little coding. https://t.co/FuiT36Bole

Episode 8: Building Image Generation Applications – Chris Noring and Pablo Lopes explain how to generate images from text descriptions using models like DALL-E and Midjourney, and walk through building an image-generation app step by step​ https://t.co/FIbuZ9QiEI

Episode 7: Building Search Apps (Vector Databases) – Dave Glover shows how to build semantic search apps using vector embeddings to index and query text, retrieving relevant video segments from an education startup's library. https://t.co/lPmpbUyPqj

Episode 6: Building Chat Applications – Jasmine Greenaway demonstrates how to efficiently build and integrate AI-powered chat applications into existing systems, including customization, fine-tuning, and monitoring strategies​ https://t.co/QYC5eFA7iR

Episode 5: Build Text Generation Apps Learn how to create powerful AI text tools with OpenAI — step-by-step, from prompt tuning to output control. https://t.co/749GmzFOlH

Episode 4: Creating Advanced Prompts – Chris Noring delves into advanced prompt-engineering techniques to optimize prompts and improve AI response quality, demonstrating these methods with real-world examples​ https://t.co/loep0a5pPz

Episode 3: Understanding Prompt Engineering Fundamentals – Nitya Narasimhan walks through the fundamentals of prompt engineering, teaching how to craft effective prompts and iterate on them to improve generative AI results​ https://t.co/6kf74TFGaI

Episode 2: Using Generative AI Responsibly – Explains why responsible AI is crucial for generative applications, covering how to ensure AI outputs are fair and non-harmful, and steps to improve the responsible use of AI​ https://t.co/6XmWGoOb72

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Episode 1: Introduction to Generative AI and LLMs – Carlotta Castelluccio introduces Generative AI and large language models, explaining their inner workings and how they are revolutionizing industries (with a focus on education)​ https://t.co/RGy4PRgG7O