Code.org AIF Unit1-3 Vocabulary Words

What is the term for focusing on the important information and ignoring irrelevant details?

• abstraction

• iteration

• recursion

• concatenation

Answer explanation

The term 'abstraction' refers to the process of focusing on the essential features of a concept while ignoring the irrelevant details. This is crucial in various fields, including programming and design, to simplify complex systems.

What is the technology that mimics human intelligence, performing tasks such as understanding language, recognizing patterns, and making decisions?

• artificial intelligence (AI)

• blockchain technology

• virtual reality (VR)

• quantum computing

Answer explanation

The technology that mimics human intelligence is artificial intelligence (AI). It encompasses tasks like understanding language, recognizing patterns, and making decisions, distinguishing it from blockchain, VR, and quantum computing.

What is the likelihood that a specific outcome might occur called?

• probability

• certainty

• possibility

• frequency

Answer explanation

The likelihood of a specific outcome occurring is referred to as 'probability'. It quantifies how likely an event is to happen, distinguishing it from terms like 'certainty' and 'possibility', which have different meanings.

What is a question, instruction, scenario, or statement provided by the user to guide the AI's response called?

• prompt

• response

• algorithm

• syntax

Answer explanation

A 'prompt' is the term used to describe a question, instruction, scenario, or statement given by the user to guide the AI's response. It sets the context for the AI's output.

What do you call an AI system that can process information from multiple types of input?

• multimodal model

• unimodal network

• single-channel AI

• monolithic processor

Answer explanation

An AI system that can process multiple types of input is called a multimodal model. This term reflects its ability to integrate and analyze data from various sources, unlike unimodal or single-channel systems that handle only one type.

What is a general purpose form of AI that is trained on a very, very large body of knowledge called?

• large language model (LLM)

• narrow neural network (NNN)

• specific task bot (STB)

• limited data processor (LDP)

Answer explanation

A large language model (LLM) is a general-purpose AI trained on extensive datasets, enabling it to understand and generate human-like text across various topics, making it the correct choice for this question.

What is an interconnected network that makes decisions using weights and hidden layers, and is used to represent the relationship between words?

• neural network

• decision tree

• hash table

• stack

Answer explanation

A neural network is an interconnected system that uses weights and hidden layers to make decisions, effectively modeling relationships between words, making it the correct choice for this question.

What is the process of teaching an AI model by exposing it to large amounts of data, allowing it to learn patterns, improve accuracy, and refine its predictions over time called?

• training

• debugging

• compiling

• encrypting

Answer explanation

The process of teaching an AI model by exposing it to large amounts of data to learn patterns and improve predictions is called training. This is essential for enhancing the model's accuracy over time.

What is the structured or unstructured information, such as text, images, or code, used to train an AI model and shape its ability to recognize patterns and generate accurate responses called?

• training data

• output layer

• activation function

• hyperparameter

Answer explanation

The correct choice is 'training data', which refers to the structured or unstructured information used to train AI models, enabling them to recognize patterns and generate accurate responses.

What is the term for when the model makes up false or misleading information that sounds real but isn’t true?

• hallucination

• extrapolation

• translation

• summarization

Answer explanation

The term 'hallucination' refers to when a model generates false or misleading information that appears credible but is not true. This is distinct from extrapolation, translation, or summarization, which involve different processes.