AI Basics
This is the broad field of building systems that perform tasks requiring human intelligence.
What is Artificial Intelligence (AI)?
This is the instruction you give to an AI model to get a response.
What is a Prompt?
eBay uses this type of system to suggest products you might want to buy.
What is a Recommendation System?
When a model makes up information that isn’t true, it’s called this.
What is Hallucination?
Protecting sensitive customer information relates to this concept.
What is Data Privacy?
This is a subset of AI where systems learn patterns from data instead of being explicitly programmed.
What is Machine Learning (ML)?
This defines the maximum amount of text a model can “see” at once.
What is a Context Window?
This field helps computers understand and generate human language.
What is Natural Language Processing (NLP)?
When training data skews results toward one group, this issue appears.
What is Bias?
Adding this ensures humans remain part of AI decision-making.
What is Human-in-the-loop?
This branch of AI creates new content like text, images, or audio.
What is Generative AI (GenAI)?
Models break text into these small units, usually a few characters or words at a time.
What is a Token?
This type of AI can act on instructions, making decisions and carrying out steps.
What is an Agent?
Treating different groups equitably in AI outcomes relates to this principle.
What is Fairness?
Before deploying an AI system, companies should perform this to identify potential harms.
What is Risk Assessment?
ChatGPT is an example of this type of model trained on huge text datasets.
What is a Large Language Model (LLM)?
This process adapts a pre-trained model to a specific dataset or task.
What is Fine-tuning?
Using AI to handle repetitive tasks across apps and services is called this.
What is Workflow Automation?
This quality means we can understand how and why a model made a decision.
What is Explainability?
Regulatory bodies or internal committees provide this to ensure AI is used responsibly.
What is Oversight?
These layered systems of connected nodes are inspired by the structure of the human brain.
What is a Neural Network?
These numerical vectors capture the meaning of text for tasks like search and clustering.
What are Embeddings?
AlphaGo used this approach, where models learn through trial, error, and reward.
What is Reinforcement Learning?
When a model’s process and limitations are open to inspection, it shows this.
What is Transparency?
These boundaries are set to prevent misuse and ensure AI operates safely.
What are Guardrails?