AI glossary Models & Architecture
What is LLM?
LLM (Large Language Model)
← All glossary terms In short
Model trained on vast text; basis of ChatGPT, Claude, and similar systems.
Explained
Large Language Models (LLMs) are neural networks trained on enormous text corpora. They generate coherent text, answer questions, and perform many NLP tasks. Examples: GPT-4, Claude, Llama, Mistral.
Decision guides that use this term
- Open-source vs proprietary LLMs: how should an enterprise choose?
- Single AI vendor vs multi-model strategy: should you bet on one provider?
- Long context windows vs RAG: do you still need a retrieval pipeline if the model can read the whole dataset?
- Reasoning models vs standard LLMs: when is the extra thinking worth paying for?
- Seat-based vs usage-based AI pricing: which model fits how your organisation will use AI?
- Small vs large language models: which one should run your enterprise use case?
Where it shows up at Thinkia
The Mesh