Question 1

Jaký je základní princip umělé inteligence?

Accepted Answer

Stroje se učí na základě dat a algoritmů.

Answer

Stroje pracují na základě předem daných pravidel.

Answer

Stroje se učí z chyb předchozích generací.

Answer

Stroje mají přirozenou inteligenci.

Question 2

Co znamená termín 'strojové učení'?

Accepted Answer

Je to schopnost stroje získat znalosti a učit se na základě dat.

Answer

Je to schopnost stroje pracovat rychleji než člověk.

Answer

Je to schopnost stroje vytvářet přesnou kopii člověka.

Answer

Je to schopnost stroje získat vědomí a uvědomění.

Question 3

Co je neuronová síť?

Accepted Answer

Je to model umělé inteligence inspirovaný strukturou lidského mozku.

Answer

Je to sofistikovaný robot s umělou inteligencí.

Answer

Je to soubor předem daných pravidel pro strojové učení.

Answer

Je to speciální software pro úpravu obrazů.

Question 4

Co je hluboké učení?

Accepted Answer

Je to metoda strojového učení, která využívá neuronové sítě se mnoha vrstvami.

Answer

Je to metoda strojového učení, která se zaměřuje na povrchové znalosti.

Answer

Je to metoda strojového učení, která se zabývá pouze jednoduchými úkoly.

Answer

Je to metoda strojového učení, která se vyučuje na univerzitách.

Question 5

Co je chatbot?

Accepted Answer

Je to program s umělou inteligencí, který simuluje lidský rozhovor.

Answer

Je to automatizovaný robot, který vykonává fyzické práce v chatových místnostech.

Answer

Je to zařízení pro komunikaci mezi různými internetovými chatovými platformami.

Answer

Je to speciální software pro několikrát opakovaný chat.

Question 6

Co je strojové vidění?

Accepted Answer

Je to obor umělé inteligence zaměřený na zpracování a interpretaci vizuálního obsahu.

Answer

Je to termín pro hardware zaměřený na zvýšení výkonu počítačů.

Answer

Je to metoda strojového učení pro vytvoření realistických animací.

Answer

Je to technologie zaměřená na opravy a úpravy poškozených strojů.

Question 7

Co je úzká  (narrow) umělá inteligence?

Accepted Answer

Je to umělá inteligence, která je specializovaná na konkrétní úlohy nebo oblasti.

Answer

Je to umělá inteligence s neomezenou kapacitou učení.

Answer

Je to umělá inteligence, která dokáže předvídat budoucnost.

Answer

Je to umělá inteligence určená pouze pro vědecký výzkum.

Question 8

Co je algoritmus?

Accepted Answer

Je to přesně definovaný postup k dosažení určitého výsledku.

Answer

Je to náhodný výběr mezi možnostmi.

Answer

Je to technologie pro ukládání a zpracování dat.

Answer

Je to grafické zobrazení datových struktur.

Question 9

What is the purpose of machine learning in AI?

Accepted Answer

To enable a system to learn and improve from experience without being explicitly programmed.

Answer

To connect computers and enable them to communicate with each other.

Answer

To make computers think and behave like humans.

Answer

To analyze large amounts of data and generate insights.

Question 10

What is the goal of natural language processing (NLP) in AI?

Accepted Answer

To enable computers to understand, interpret, and respond to human language.

Answer

To gather and process data from various sources.

Answer

To create algorithms that improve over time.

Answer

To simulate human intelligence and behavior.

Question 11

What is the training process in AI?

Accepted Answer

The process of teaching an AI model by providing it with labeled data and allowing it to learn from it.

Answer

The process of deploying an AI model into a production environment.

Answer

The process of optimizing an AI model to improve its performance.

Answer

The process of evaluating an AI model's accuracy and effectiveness.

Question 12

What is the purpose of artificial neural networks in AI?

Accepted Answer

To mimic the way the human brain processes information and learns.

Answer

To enhance data security and privacy.

Answer

To analyze and interpret visual data.

Answer

To automate repetitive tasks and improve efficiency.

Question 13

What is the role of deep learning in AI?

Accepted Answer

To enable AI systems to automatically learn hierarchical representations of data.

Answer

To develop algorithms that mimic human decision-making processes.

Answer

To optimize the performance of AI models through iterative processes.

Answer

To analyze and interpret human emotions through facial expressions.

Question 14

What is the main goal of AI?

Accepted Answer

To develop intelligent machines that can simulate human intelligence and perform tasks independently.

Answer

To optimize processes and improve efficiency.

Answer

To enhance human creativity and artistic expression.

Answer

To analyze and interpret complex data sets.

Question 15

What is the difference between narrow AI and general AI?

Accepted Answer

Narrow AI is designed to perform specific tasks, while general AI aims to possess the same level of intelligence and capability as a human being.

Answer

Narrow AI is limited to basic decision-making, while general AI can handle complex scenarios.

Answer

Narrow AI is focused on processing large amounts of data, while general AI focuses on problem-solving.

Answer

Narrow AI is used for research purposes, while general AI is used in practical applications.

Question 16

What is the concept of reinforcement learning in AI?

Accepted Answer

A learning paradigm where an AI agent learns through interaction with an environment and receives rewards or penalties based on its actions.

Answer

A technique for training AI models using labeled data and predefined features.

Answer

A process of optimizing AI models by adjusting their parameters.

Answer

A method for analyzing and interpreting natural language data.

Question 17

What is the concept of supervised learning in AI?

Accepted Answer

A learning technique where an AI model is trained using labeled examples to make predictions or classify new data.

Answer

A process of training AI models using reinforcement and reward signals.

Answer

A technique to optimize AI models by adjusting their parameters.

Answer

A method for analyzing and understanding natural language data.

Question 18

What is the concept of unsupervised learning in AI?

Accepted Answer

A learning technique where an AI model discovers patterns and structures in data without any labeled examples.

Answer

A technique to optimize AI models by adjusting their parameters.

Answer

A method for analyzing and understanding natural language data.

Answer

A process of training AI models using reinforcement and reward signals.

Question 19

What is the Turing test?

Accepted Answer

A test to determine a machine's ability to exhibit intelligent behavior indistinguishable from that of a human.

Answer

A test to evaluate a machine's physical strength and durability.

Answer

A test to measure a machine's processing speed and computational power.

Answer

A test to determine a machine's ability to learn from data and improve performance.

Question 20

What is the bias in artificial intelligence?

Accepted Answer

The systematic favoring or discriminating against certain groups or individuals in AI algorithms or decision-making processes.

Answer

The ability of AI systems to learn and adapt from new data.

Answer

The measure of how accurate an AI algorithm is in making predictions.

Answer

The process of fine-tuning AI models to achieve better performance.

Question 21

What is the concept of neural networks in artificial intelligence?

Accepted Answer

Neural networks are interconnected layers of artificial neurons that simulate the human brain's structure and function.

Answer

Neural networks are algorithms used to analyze and visualize data.

Answer

Neural networks refer to the process of training machines to imitate human behavior.

Answer

Neural networks are advanced robots designed to perform complex tasks.

Question 22

What is the difference between artificial intelligence and machine learning?

Accepted Answer

Artificial intelligence is a broad field that encompasses various techniques and approaches, while machine learning is a subset of AI that focuses on algorithms that enable machines to learn from data.

Answer

Artificial intelligence is used for data analysis, while machine learning is used for computer vision tasks.

Answer

Artificial intelligence is a recent development, while machine learning has been around for decades.

Answer

Artificial intelligence is solely based on human intelligence, while machine learning is based on computational algorithms.

Question 23

What is machine learning?

Accepted Answer

A subset of AI that enables machines to learn from data and improve performance without explicit programming.

Answer

The process of giving machines the ability to understand and interpret human emotions.

Answer

The practice of designing machines with physical human-like attributes.

Answer

A technique used to program machines to perform repetitive tasks efficiently.

Question 24

Co je Turingův test?

Accepted Answer

Turingův test (anglicky Turing Test) byl vytvořen v roce 1950 Alanem Turingem. Jeho cílem bylo prověřit inteligentní chování počítače.

Answer

Turingův test (anglicky Turing Test) byl vytvořen v roce 2 022 Alanem Touringem. Jeho cílem je prověřit, jestli počítač lže.

Question 25

General AI, AGI, and generative AI are the same. Choose true or false

Accepted Answer

false

Answer

true

Question 26

Siri is a narrow AI.

Accepted Answer

true

Answer

false

Question 27

What type of AI is Alexa?

Accepted Answer

narrow, conversational

Answer

<P>general</P>

Answer

<P>generative</P>

Question 28

Alexa is a self-learning AI.

Accepted Answer

false

Answer

true

Question 29

Any strong AI doesn't exist yet.

Accepted Answer

true

Answer

false

Question 30

There are three types of AI.

Accepted Answer

true

Answer

false

Question 31

Chat GPT uses RLHF, which is a category of machine learning technique.

Accepted Answer

true

Answer

false

Question 32

Chat GPT uses Google search.

Accepted Answer

false

Answer

true

Question 33

ChatGPT was trained on large collections of text data, such as books, articles, and web pages. OpenAI used a dataset called the Common Crawl

Accepted Answer

true

Answer

false

Question 34

ChatGPT, DALL-E, and Gemini Copilot are not examples of generative AI applications that produce text or images based on user-given prompts or dialogue.

Accepted Answer

false

Answer

true

Question 35

Grammarly is a generative AI.

Accepted Answer

true

Answer

false

Question 36

Vyberte z následujících příkladů co je AI ( AI je autonomní a adaptabilní)

Accepted Answer

Navigační systém GPS

Answer

Tabulkový editor, který počítá součty a další předem definované funkce na základě daných údajů

Answer

Velká uložiště s daty

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