Large language models (LLMs) are machine learning models that utilize deep learning algorithms to process and understand language. They're trained with immense amounts of data to learn patterns and relationships, which helps them make better predictions and groupings. LLMs are capable of processing vast amounts of data, which leads to improved accuracy in prediction and classification tasks. LLMs have been used in many applications such as text generation, translation, summarization, question answering, and more . LLMs are popular because they have shown great success in many natural language processing tasks and have achieved state-of-the-art performance on many benchmarks. They are also popular because they can be fine-tuned for specific tasks with relatively small amounts of data.