Leveraging Large Language Models for Downstream Tasks: From Fine-tuning to Retrival-Augmented Generation (RAG)
There are two key strategies for leveraging pre-trained LLMs for downstream tasks: fine-tuning and few-shot learning. We will briefly explore both approaches, highlighting their benefits, challenges, and use cases.