Emerging trends (smaller models, edge AI) in Prompt Engineering / GenAI - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main advantage of smaller AI models compared to larger ones?

Smaller AI models require less computing power and memory, making them faster and easier to run on devices like smartphones or edge devices.

beginner

Define Edge AI in simple terms.

Edge AI means running AI directly on devices like phones or sensors instead of sending data to big computers far away. This helps with faster decisions and better privacy.

intermediate

Why is Edge AI important for real-time applications?

Edge AI processes data locally, so it can respond instantly without waiting for internet communication, which is crucial for things like self-driving cars or health monitors.

intermediate

Name two challenges when using smaller AI models.

Smaller models might have less accuracy and can struggle with very complex tasks compared to bigger models.

intermediate

How do smaller models and Edge AI together benefit users?

Smaller models can run efficiently on edge devices, enabling quick, private, and energy-saving AI services without needing constant internet connection.

What is a key benefit of running AI on edge devices?

A Faster response times

B Requires more internet bandwidth

C Needs bigger models

D Always needs cloud servers

Edge AI processes data locally, so it responds faster without relying on internet speed.

Smaller AI models are best described as:

A Models that use less computing resources

B Models that always have higher accuracy

C Models that need large servers to run

D Models that cannot run on phones

Smaller models are designed to use less memory and computing power.

Which is NOT a typical use case for Edge AI?

A Smart home devices

B Self-driving cars

C Offline language translation

D Large-scale cloud data storage

Large-scale cloud data storage is done in the cloud, not on edge devices.

What is a common challenge when using smaller AI models?

A They always require internet

B They may have lower accuracy

C They use more energy

D They cannot run on edge devices

Smaller models often trade off some accuracy for efficiency.

Edge AI helps improve privacy because:

A It requires constant internet connection

B It sends all data to big servers

C Data is processed locally and not sent to the cloud

D It uses bigger models

Processing data locally means sensitive information stays on the device.

Explain how smaller AI models and Edge AI work together to improve user experience.

Think about speed, privacy, and device limitations.

Describe two challenges faced when deploying AI on edge devices.

Consider device limits and model performance.