Introduction to Large Language Models

Large Language Models (LLMs) are AI systems based on neural networks, typically transformers, trained on massive text data to understand, generate, and process human language. Examples like OpenAI's GPT, Google's BERT, and Meta's LLaMA showcase their versatility in tasks like text generation, translation, and summarization. LLMs excel in scalability and generalization, with applications across industries such as healthcare, education, and content creation. Despite their transformative potential, challenges include bias, privacy concerns, and high computational costs. As research advances, LLMs continue to unlock new opportunities in AI-driven interactions.