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Fine-Tuning LLMs with Open-Source Data Essentials
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.
Course Overview
None
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):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.