Comparison
Foundation Model vs Large Language Model
Foundation Model and Large Language Model are both common AI/LLM terms but cover different ideas. Here is a quick side-by-side.
When you would reach for Foundation Model
Foundation Model comes up when the question is fundamentally about foundations.
GPT-4 used by tens of thousands of applications via API.
When you would reach for Large Language Model
Large Language Model comes up when the question is fundamentally about foundations.
Claude Sonnet — Anthropic's general-purpose LLM.
Frequently asked
What is the difference between Foundation Model and Large Language Model?
Foundation Model: A foundation model is a single large model pretrained on broad data that can be adapted to many downstream tasks. LLMs are the most common type. Large Language Model: A large language model is a neural network trained on huge amounts of text to predict the next token in a sequence. GPT-4, Claude, and Gemini are all LLMs.
When should I use Foundation Model vs Large Language Model?
Foundation Model is the right concept when you are focused on foundations. Large Language Model applies when you are focused on foundations.
Are Foundation Model and Large Language Model the same thing?
No. Foundation Model is foundations; Large Language Model is foundations. They are related but address different parts of the AI stack.