Generative AI for Beginners
🚨 BREAKING: Microsoft just dropped an Episode series called "Generative AI for Beginners".
Ideal for beginners, developers, and AI enthusiasts looking to build a solid foundation.
Here’s a breakdown
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://learn.microsoft.com/en-us/?fbclid=IwY2xjawKtjFlleHRuA2FlbQIxMQABHrEz_c7OZJjQ3BmvSpfiMeL2KKDP9qWI3oj3-cYIwKpWFcajFi3de0Yw0Psx_aem_4fN4dHzeVLZmu9H617aYKg
Episode 2: Exploring and Comparing Different LLMs
– Carlotta Castelluccio and Pablo Lopes explore various types of large language models, their use cases across industries, and how businesses can harness their potential
https://learn.microsoft.com/en-us/?fbclid=IwY2xjawKtjKFleHRuA2FlbQIxMQABHrEz_c7OZJjQ3BmvSpfiMeL2KKDP9qWI3oj3-cYIwKpWFcajFi3de0Yw0Psx_aem_4fN4dHzeVLZmu9H617aYKg
Episode 3: 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
Episode 4: 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
learn.microsoft.com
Episode 5: 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
learn.microsoft.com
Episode 6: Building Text Generation Applications
– Covers the core concepts of text generation using OpenAI and shows how to build a text-generation application step by step, adjusting parameters like prompt, temperature, and tokens for desired output
learn.microsoft.com/
Episode 7: 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
learn.microsoft.com
Episode 8: Building Search Apps (Vector Databases)
– Dave Glover explores building semantic search applications using vector embeddings. This episode shows how to create a search app (for an education startup’s video library) that returns relevant video segments by indexing and querying text embeddings
learn.microsoft.com
Episode 9: 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
learn.microsoft.com
Episode 10: Building Low-Code AI Applications
– Someleze Diko shows how to leverage low-code development platforms (Microsoft Power Platform) with generative AI. This episode covers using AI features like Copilot and AI Builder to create AI-powered apps and workflows without extensive coding
learn.microsoft.com
Episode 11: Integrating External Applications with Function Calling
– Korey Stegared-Pace introduces function calling in the context of LLMs. It explains what function calling is, demonstrates how to implement an OpenAI function call, and shows how to integrate it into an application to extend AI capabilities
learn.microsoft.com
Episode 12: Designing UX for AI Applications
– Bethany Jepchumba discusses how to design user experiences for AI-driven applications, emphasizing the importance of user trust and transparency for responsible AI. It covers understanding user needs and designing AI features for collaboration and feedback
learn.microsoft.com
These all are fantastic resource for mastering AI basics!
Thanks for visiting Discover Talent Presents 🤠
Comments