Overview
Large Language Models (LLMs) are advanced AI systems that can perform a variety of language-related tasks. They use complex mathematical models to learn patterns from massive datasets, using billions or trillions of internal variables (parameters) to process information.
Key Characteristics
- Generative Capabilities: Can create coherent text, code, and translations.
- Few-Shot Learning: Ability to perform tasks with minimal examples.
- Contextual Understanding: Analyzes relationships between words to understand meaning in context.
Common Examples
- GPT-4 (OpenAI)
- Claude (Anthropic)
- Llama (Meta)