A Large Language Model, commonly abbreviated as LLM, is an advanced artificial neural network designed to understand, generate, and process human language. These models are termed “large” because they are trained on vast amounts of textual data and can contain billions of parameters.
LLMs are capable of performing a wide range of tasks, including text generation, translation, summarization, and question answering. They function by recognizing patterns in language and predicting likely sequences of words based on this understanding.
A well-known example of an LLM is GPT (Generative Pre-trained Transformer), developed by OpenAI. LLMs form the foundation for many modern AI applications and have the potential to fundamentally change how we interact with computers and process information.
Despite their impressive capabilities, LLMs also have limitations and can make mistakes or produce biased results, which often raises ethical and practical questions about their use. These models continue to evolve rapidly, pushing the boundaries of what’s possible in natural language processing and artificial intelligence.