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29 components of labs and 1 index are not listed: data a lab works on, held because its lab is; pages of links that point at teaching material without being any. Show them

GitHub Markdown Narrative text Objectives microsoft/generative-ai-for-beginners
Introduction
OPEN

Repository 21 Lessons, Get Started Building with Generative AI

GitHub Markdown Narrative text Objectives microsoft/generative-ai-for-beginners
Introduction
OPEN

Repository 21 Lessons, Get Started Building with Generative AI

GitHub Markdown microsoft/generative-ai-for-beginners
Resources For Self-Guided Learning
OPEN

Inferred The lesson was built using core resources from OpenAI and Microsoft Foundry as references for the terminology and tutorials. Here is a non-comprehensive list for your own self-guided learning journeys. Every link below points to current, supported material.

GitHub Markdown Narrative text Objectives microsoft/generative-ai-for-beginners
Introduction to Small Language Models for Generative AI for Beginners
OPEN

Inferred Generative AI is a fascinating field of artificial intelligence that focuses on creating systems capable of generating new content. This content can range from text and images to music and even entire virtual environments. One of the most exciting applications of generative AI i…

GitHub Markdown 11 components microsoft/generative-ai-for-beginners
Enhanced Features and Improvements Roadmap
OPEN

Inferred This document outlines recommended enhancements and improvements for the Generative AI for Beginners curriculum, based on a comprehensive code review and analysis of industry best practices.

GitHub Markdown microsoft/generative-ai-for-beginners
Local Setup 🖥️
OPEN

Inferred Use this guide if you prefer to run everything on your own laptop. You have two paths: (A) native Python + virtual-env or (B) VS Code Dev Container with Docker. Choose whichever feels easier—both lead to the same lessons.

GitHub Markdown Exercise microsoft/generative-ai-for-beginners
Choosing & Configuring an LLM Provider 🔑
OPEN

Inferred Assignments may also be setup to work against one or more Large Language Model (LLM) deployments through a supported service provider like OpenAI, Azure or Hugging Face. These provide a hosted endpoint (API) that we can access programmatically with the right credentials (API key…

GitHub Markdown Narrative text Objectives microsoft/generative-ai-for-beginners
Introduction to Generative AI and Large Language Models
OPEN

Inferred In this curriculum, we’ll explore how our startup leverages generative AI to unlock new scenarios in the education world and how we address the inevitable challenges associated with the social implications of its application and the technology limitations.

GitHub Notebook microsoft/generative-ai-for-beginners
Introduction to Prompt Engineering
OPEN

Inferred Prompt engineering is the process of designing and optimizing prompts for natural language processing tasks. It involves selecting the right prompts, tuning their parameters, and evaluating their performance. Prompt engineering is crucial for achieving high accuracy and efficien…

GitHub Markdown Narrative text Objectives microsoft/generative-ai-for-beginners
Creating Advanced Prompts
OPEN

Inferred In this chapter, you'll move from experimenting with different prompts to understanding why one prompt works better than another.

GitHub Notebook Objectives microsoft/generative-ai-for-beginners
Build text generation apps
OPEN

Inferred You've seen so far through this curriculum that there are core concepts like prompts and even a whole discipline called "prompt engineering". Many tools you can interact with like ChatGPT, Office 365, Microsoft Power Platform and more, support you using prompts to accomplish som…