# What is LLM? Large Language Model, explained

> The model behind every AI answer.

A Large Language Model (LLM) is a neural network trained on huge text corpora to predict and generate text. GPT, Claude, Gemini, Grok, Llama, and Mistral are LLMs. Every modern AI answer engine — ChatGPT Search, Perplexity, Google AI Overviews — is an LLM plus a retrieval system plus a UI.

## How LLM differs from LLMO, GenAI, RAG

A general AI model can be any architecture (vision, audio, multimodal). An LLM is specifically a language-focused neural network. Most modern "AI assistants" are LLMs at their core.

## How Mentionwell handles LLM

- Mentionwell's LLMO layer makes content reachable, parseable, and trustworthy to LLMs themselves.
- Per-article Markdown mirrors and embeddings index every published article for downstream LLM ingestion.
- Editorial pipeline produces content that's citable by LLMs without rewrites.

## Frequently asked questions about LLM

### What is an LLM?

A Large Language Model — a neural network trained on huge text corpora to predict and generate text. GPT, Claude, Gemini, Grok, Llama, Mistral are examples.

### Are all AI assistants LLMs?

Most consumer AI assistants today are LLMs (sometimes multimodal, with vision and audio added). Specialized AI products may use other architectures.

## See also

- [LLMO — LLM Optimization](https://mentionwell.com/llmo): Be reachable, parseable, ingestible.
- [GenAI — Generative AI](https://mentionwell.com/generative-ai): Models that produce content, not just classify it.
- [RAG — Retrieval-Augmented Generation](https://mentionwell.com/rag): Grounding answers in retrieved sources.


---

Canonical URL: https://mentionwell.com/llm
Live HTML version: https://mentionwell.com/llm
Site index for AI ingestion: https://mentionwell.com/llms.txt
Full reference: https://mentionwell.com/llms-full.txt