Introduction to Large Language Models

Large language models, or LLMs, are at the forefront of AI innovation. These models, such as GPT-4, are trained on massive datasets and use billions of parameters to understand and generate human language. The rise of LLMs has led to breakthroughs in areas like chatbots, translation, content generation, and knowledge retrieval. Their ability to generalize from context allows developers to build powerful AI-driven applications with minimal task-specific tuning. However, LLMs also raise concerns related to data privacy, hallucinations, and computational cost. As the technology evolves, fine-tuning and domain adaptation are becoming essential strategies to make LLMs more accurate, efficient, and trustworthy in real-world scenarios.