An LLM stands for Large Language Model, a type of artificial intelligence model designed to understand and generate human-like text based on vast amounts of data. LLMs are built using machine learning techniques, typically neural networks, and trained on enormous datasets that include text from books, websites, articles, and other sources.
Key features of LLMs include:
- Natural Language Understanding (NLU): LLMs can interpret and understand complex text, questions, and prompts in natural language.
- Text Generation: They can generate coherent and contextually relevant text, like writing articles, answering questions, or even creating stories.
- Contextual Learning: LLMs can process and generate responses that maintain context over longer conversations or text passages.
- Generalization: LLMs are designed to generalize across many tasks, allowing them to perform well in various language-related tasks like summarization, translation, and more.
Examples of LLMs include OpenAI’s GPT-4 (which powers me), Google’s BERT, and Meta’s LLaMA.