Definition
Large Language Models (LLMs) are advanced artificial intelligence systems based on transformer architectures, trained on massive datasets of text and code. They learn statistical patterns in language to predict subsequent tokens, enabling capabilities such as translation, summarization, question answering, and creative writing. Their scale allows for emergent abilities not present in smaller models, making them foundational tools in modern natural language processing applications.
Summary
A deep learning model trained on vast text corpora to understand and generate human-like language.
Key Concepts
- Transformer Architecture
- Token Prediction
- Pre-training
- Scale Law
Use Cases
- Chatbots and Virtual Assistants
- Content Generation
- Code Completion