Fine-Tuning vs. Pre-Training: The Two Big Stages of LLM Learning

When it comes to training large language models (LLMs), fine-tuning and pre-training form the foundation of their learning journey. Pre-training involves exposing the model to vast amounts of diverse text data, enabling it to understand patterns, grammar, and context. Fine-tuning refines this knowledge by focusing on specific datasets or tasks, tailorin…