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):