Category: Large Language Models

Large Language Models (LLMs) are a type of artificial intelligence that uses neural networks to process and generate human language. They are trained on massive amounts of text data, allowing them to understand context, grammar, and the relationships between words and concepts. These models can be fine-tuned for specific tasks such as translation, summarization, or question answering. Some well-known examples include GPT (Generative Pretrained Transformer), BERT (Bidirectional Encoder Representations from Transformers), and T5 (Text-to-Text Transfer Transformer). Large Language Models have significantly improved the performance of natural language processing tasks due to their ability to learn complex patterns in human language. However, they still face challenges with factual consistency, long-term dependencies, and generating coherent text over extended lengths.