AI Foundations · Side by side
AI vs ML vs Deep Learning
vs
These three are nested, not competing. Artificial intelligence is the broad field of machine intelligence. Machine learning is a subset where systems learn from data. Deep learning is a subset of ML that uses multi-layer neural networks, the engine behind modern generative AI.
AI vs ML
The broad field vs learning from data
Deep Learning
Neural-network-based ML
Side by side
| AI vs ML | Deep Learning | |
|---|---|---|
| Scope | AI: broadest field; ML: learns from data | Narrowest, neural networks |
| Relationship | ML is a subset of AI | DL is a subset of ML |
| Needs | Rules or data | Large data + compute |
| Powers | Search, recommendations, robotics | LLMs, vision, speech |
The Verdict
Think of them as circles inside circles: AI ⊃ ML ⊃ deep learning. Use 'AI' for the broad capability, 'ML' when learning from data is the point, and 'deep learning' when neural networks specifically are involved.
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Frequently asked questions
Is deep learning the same as AI?
No, deep learning is a specialised subset of machine learning, which is itself a subset of AI.
Is generative AI deep learning?
Yes, modern generative AI (LLMs, diffusion) is built on deep neural networks, a form of deep learning.
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