What is Edge AI?
Running AI models directly on local devices like phones or sensors rather than in the cloud.
Why It Matters
Edge AI enables faster responses, works offline, and keeps sensitive data on the device.
Real-World Example
Your phone's face recognition works locally on the device without sending photos to the cloud.
“Understanding terms like Edge AI matters because it helps you have better conversations with developers and make smarter decisions about your software. You do not need to be technical. You just need to know enough to ask the right questions.”
Related Terms
Inference
The process of using a trained AI model to generate predictions or outputs from new input data.
Quantisation
Reducing the precision of numbers in an AI model to make it smaller and faster without losing much accuracy.
Edge Functions
Code that runs on servers close to your users around the world, rather than in one central location
Federated Learning
A training approach where AI learns from data spread across many devices without the data ever leaving those devices.
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Related Terms
Edge Functions
Code that runs on servers close to your users around the world, rather than in one central location
Quantisation
Reducing the precision of numbers in an AI model to make it smaller and faster without losing much accuracy.
Inference
The process of using a trained AI model to generate predictions or outputs from new input data.
Federated Learning
A training approach where AI learns from data spread across many devices without the data ever leaving those devices.
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
Transformer
A type of AI architecture that processes text by paying attention to relationships between all words at once, rather...