Fine-tuning an LLM involves adjusting the model's parameters using specific datasets relevant to a particular task or industry. This process enhances the model's accuracy and relevance, allowing it to generate more precise and contextually appropriate responses. Fine-tuning is essential for businesses looking to customize LLMs to their unique requirements, ensuring that the AI delivers optimal performance in real-world applications.