Implement Generative AI engineering with Azure Databricks

Microsoft via Microsoft Learn

Microsoft Learn based on 0 ratings

Likes

Overview

Module 1: Get started with language models in Azure DatabricksIn this module, you learn how to: Describe Generative AI. Describe Large Language Models (LLMs). Identify key components of LLM applications. Use LLMs for Natural Language Processing (NLP) tasks. Module 2: Implement Retrieval Augmented Generation (RAG) with Azure DatabricksIn this module, you learn how to: Set up a RAG workflow. Prepare your data for RAG. Retrieve relevant documents with vector search. Improve model accuracy by reranking your search...

Syllabus

Module 1: Module 1: Get started with language models in Azure Databricks
- Introduction
- Understand Generative AI
- Understand Large Language Models (LLMs)
- Identify key components of LLM applications
- Use LLMs for Natural Language Processing (NLP) tasks
- Exercise - Explore language models
- Knowledge check
- Summary

Module 2: Module 2: Implement Retrieval Augmented Generation (RAG) with Azure Databricks
- Introduction
- Explore the main concepts of a RAG workflow
- Prepare your data for RAG
- Find relevant data with vector search
- Rerank your retrieved results
- Exercise - Set up RAG
- Knowledge check
- Summary

Module 3: Module 3: Implement multi-stage reasoning in Azure Databricks
- Introduction
- What are multi-stage reasoning systems?
- Explore LangChain
- Explore LlamaIndex
- Explore Haystack
- Explore the DSPy framework
- Exercise - Implement multi-stage reasoning with LangChain
- Knowledge check
- Summary