AI Systems and Technologies

These flashcards cover key concepts and terminology related to AI systems and their components as discussed in the lecture.

What is edge computing?

Running software close to the user or the data source rather than in a distant data center.

Define user interface (UI).

The part of a system the user interacts with, such as buttons, screens, and menus.

What does Software as a Service (SaaS) mean?

Software provided online by a company so users do not need to manage the backend themselves.

What is a server farm?

A large group of servers in a data center used to run online services.

What are virtual machines (VMs)?

Software-based computers that act like independent machines with their own operating systems.

What is Docker?

A popular tool for creating and running software containers.

Explain multi-cloud software deployment.

Running software across more than one cloud provider.

What does prompt engineering involve?

Designing prompts to guide better outputs from an AI model.

Describe AI model latency.

The delay between sending a request to an AI model and receiving the result.

What is AI hosting?

The decision of where AI system components will run.

Define thin client.

A client that mainly handles the interface and depends on a server for most processing.

What is AI model temperature?

A setting that controls how predictable or creative a model’s output is.

What is a deep fake?

AI-generated audio, video, or images that convincingly imitate real people.

Explain the concept of adversarial training.

Training a model by exposing it to attacks so it learns to resist them.

What is the purpose of LLM moderation?

Checking prompts or outputs for unsafe or inappropriate content.

What is the agentic workflow?

A workflow where an AI agent reasons, acts, and moves through multiple steps.

Define public key cryptography.

Encryption using a public key for locking and a private key for unlocking.