900 XP

Review responsible AI principles for language models in Azure Databricks

43 min
Module
8 Units

Intermediate

Data Engineer

Azure Databricks

When working with Large Language Models (LLMs) in Azure Databricks, it's important to understand the responsible AI principles for implementation, ethical considerations, and how to mitigate risks. Based on identified risks, learn how to implement key security tooling for language models.

Learning objectives

In this module, you learn how to:

Describe the responsible AI principles for implementation of language models.
Identify the ethical considerations for language models.
Mitigate the risks associated with language models.
Implement key security tooling for language models.

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Prerequisites

Before starting this module, you should be familiar with Azure Databricks. Consider completing Explore Azure Databricks before starting this module.

This module is part of these learning paths

Implement Generative AI engineering with Azure Databricks

Module assessment

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Introduction 2 min
What is responsible AI? 4 min
Identify risks 5 min
Mitigate issues 7 min
Use key security tooling to protect your AI systems 6 min
Exercise - Implement responsible AI 15 min
Knowledge check 3 min
Summary 1 min

Note: The author created this module with assistance from AI. Learn more