Fine-Tuning Large Language Models Explained

Large Language Models (LLMs) are pretrained on vast datasets to understand language and various concepts. Enterprises often fine-tune these models for specific domains. Techniques like full fine-tuning and Parameter-Efficient Fine-Tuning (PEFT) optimize model adaptation while minimizing costs and risks like catastrophic forgetting. Understanding these strategies is essential for AI applications.