Tech Quiz

Which of the following is an example of generative AI?

GPT-4

What does the abbreviation GPT stand for in the context of AI and natural language processing (NLP)?

Generative Pre-trained Transformer

In the context of AI and machine learning, what does the term "overtting" refer to?

A model overly tted to past data, causing poor performance on new data

Which type of machine learning involves the use of labeled data for training?

Supervised learning

How is the Internet of Things (IoT) related to AI and ML?

AI/ML can be used to process the large amounts of data generated by IoT

In AI and machine learning, what is the concept of transfer learning?

Applying knowledge learned in one domain to a different but related domain

How does cloud computing contribute to the adoption and implementation of AI solutions?

By reducing need for on-premise infrastructure, offering scalable computing

Which algorithm is often used for recommendation systems, such as suggesting movies or products?

Collaborative ltering

Which of the following statements best describes "boosting" in the context of machine-learning algorithms?

Combining weak models to create a stronger one that minimizes errors.

Which AI technique is commonly used for image recognition and classication tasks?

Convolutional neural networks (CNNs)

What is the role of data in AI-driven business models?

Data serves as the raw material to train and improve AI algorithms

What is the main difference between articial intelligence and machine learning?

Machine learning is a subset of articial intelligence

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

NLP enables AI systems to process and generate human natural language

What is the difference between narrow AI (task-specic) and articial general intelligence (AGI)?

Narrow AI focuses on single tasks, AGI can perform any human cognitive task

In the context of neural networks, what does the term "deep learning" refer to?

Neural networks with a large number of hidden layers

What is the main objective of unsupervised learning?

To discover underlying patterns/structures in data without labeled examples

What is the primary goal of machine learning?

To enable computers to learn from experience and improve their performance

In the context of deep learning, what is the primary function of an activation function?

To introduce non-linearity, allowing networks to learn complex patterns

What is the primary purpose of a hidden layer in a neural network?

To perform complex feature extraction and representation

What is the purpose of using a validation set during the training of a machine learning model?

To tune the model's hyperparameters and prevent overtting