AI Foundations · Side by side
AI vs Neural Networks
vs
Artificial intelligence is the broad goal of building intelligent systems. Neural networks are one technique, inspired by the brain, used to achieve it, and the foundation of deep learning and modern generative AI. AI is the field; neural networks are a method within it.
AI
The broad field of machine intelligence
Neural Networks
A core technique behind modern AI
Side by side
| AI | Neural Networks | |
|---|---|---|
| What it is | The broad field | A modelling technique |
| Relationship | The umbrella | Powers deep learning / modern AI |
| Alternatives | Includes rule-based & classic ML | One of several ML methods |
| Example | Search, planning, robotics | Image recognition, LLMs |
The Verdict
Use 'AI' for the overall capability and 'neural networks' for the specific technique. Neural networks drive most of today's headline AI, but AI also includes approaches that use no neural networks at all.
Want an agentic workflow without the setup?
Spin up an open-source AI coding agent with Creative Tim, bring your own key or run it on credits.
Frequently asked questions
Is AI just neural networks?
No, neural networks are one powerful technique within AI. AI also includes rule-based systems and classical machine learning.
Are LLMs neural networks?
Yes, large language models are built on deep neural networks, a form of deep learning.
Keep comparing