Fine-tune language models with Azure Databricks

  • Module
  • 7 Units
Intermediate
Data Engineer
Azure Databricks

Fine-tuning uses Large Language Models' (LLMs) general knowledge to improve performance on specific tasks, allowing organizations to create specialized models that are more accurate and relevant while saving resources and time compared to training from scratch.

Learning objectives

In this module, you learn how to:

  • Understand when to use fine-tuning.
  • Prepare your data for fine-tuning.
  • Fine-tune an Azure OpenAI model.

Prerequisites

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