Azure OpenAI Fundamentals Hackathon

Challenge 00: Prerequisites – Ready, Set, GO! 

• Prepare your workstation to work with Azure. 

Challenge 01: Prompt Engineering 

• What’s possible through Prompt Engineering 
• Best practices when using OpenAI text and chat models 

Challenge 02: OpenAI Models & Capabilities 

• What are the capacities of each Azure OpenAI model? 
• How to select the right model for your application 

Challenge 03: Grounding, Chunking, and Embedding 

• Why is grounding important and how can you ground a Large Language Model (LLM)? 
• What is a token limit? How can you deal with token limits? What are techniques of chunking? 

Challenge 04: Retrieval Augmented Generation (RAG) 

• How do we create ChatGPT-like experiences on Enterprise data? In other words, how do we “ground” powerful LLMs to primarily our own data? 

Challenge 05: Responsible AI 

• What are services and tools to identify and evaluate harms and data leakage in LLMs? 

What are ways to evaluate truthfulness and reduce hallucinations? What are methods to evaluate a model if you don’t have a ground truth dataset for comparison?