This course provides a simple overview of various techniques for fine-tuning Large Language Models (LLMs). Participants will learn about different methods, such as task-specific tuning, prompt-based tuning, and parameter-efficient tuning. It is designed to give a clear understanding of the concepts without hands-on sessions.
