• Online, Self-Paced
Course Description

Fine-tune large language models using public datasets in "Fine-Tuning LLMs with Open-Source Data Essentials." Gain practical knowledge on adapting models for custom use cases with accessible resources.

Learning Objectives

  • Understand the principles of fine-tuning LLMs with open-source data.
  • Analyze the benefits of fine-tuning LLMs for specific applications.
  • Evaluate the different techniques for fine-tuning LLMs.
  • Apply fine-tuning methods to improve LLM performance with open-source data.
  • Discuss the future trends and opportunities in fine-tuning LLMs.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):