Detailed explanation
Examples
Frequently asked questions
What is the difference between GPT, Claude, and Gemini?
They are all LLMs from different vendors (OpenAI, Anthropic, Google) with different training data, alignment, and strengths. The right choice depends on your use case, cost, and constraints.
Can an LLM hallucinate?
Yes. An LLM can produce plausible but false information. RAG, source citation, and human review reduce the risk.
Related terms
AI Agent
An AI agent is an autonomous software system that perceives its environment, reasons, and takes actions to achieve a goal — often using an LLM as its brain and tools (APIs, search, code) to act.
Context Window
The maximum number of tokens a model can consider at once across input and output.
Generative AI
A family of AI models that can create new content (text, image, audio, video, code) from a prompt.
Prompt
A natural-language instruction sent to a generative AI model to get a response.
RAG (Retrieval-Augmented Generation)
RAG is a technique that combines an LLM with a search engine over your own documents: the model retrieves the relevant information first, then generates an answer grounded in that information.
Token
A unit of text (often a word fragment) that a language model consumes and produces.
Transformer
A neural network architecture based on the attention mechanism, foundation of modern LLMs.
Last updated: 7/15/2026