juniorLLMs
What is a Large Language Model (LLM)?
Updated May 16, 2026
Short answer
An LLM is a neural network trained on large text corpora to understand and generate human-like language.
Deep explanation
Large Language Models are transformer-based architectures trained on massive datasets using self-supervised learning. They learn statistical relationships between tokens and generate outputs by predicting the next token in a sequence. Their capabilities include summarization, reasoning, translation, and code generation, though they do not 'understand' language in a human sense.
Real-world example
Chatbots like customer support assistants use LLMs to answer user queries automatically.
Common mistakes
- Assuming LLMs have true understanding or consciousness.
Follow-up questions
- What architecture do most LLMs use?
- What is self-supervised learning?