Pretrained LLMs & Fine-Tuning Basics

Summary

Using an already-trained large language model (via an API or open weights) and adapting it to a specific task — often via fine-tuning or, more commonly today, careful prompting.

• 1Use a pretrained model (via Hugging Face or an API) for a simple text classification task.
• 2Learn the difference between full fine-tuning, parameter-efficient fine-tuning, and prompting.
• 3Understand why fine-tuning from scratch is rarely necessary for most practical tasks today.