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AI, Data & Emerging Tech Quiz

AI, Data & Emerging Tech · Hard

20 questions · Unlimited attempts · Free online practice

Artificial intelligence, data, and emerging technologies are transforming the way we live, work, and communicate. From smart assistants and self-driving cars to data-driven decisio...

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All 20 questions in this AI, Data & Emerging Tech quiz

What refers to the ability of an AI system to continue learning from new data without forgetting what it has previously learned?
- A. Batch Learning
- B. Continual Learning
- C. Static Learning
- D. Zero-shot Learning
What is 'LoRA' (Low-Rank Adaptation) used for in the context of Large Language Models?
- A. A way to increase the speed of the internet
- B. A technique to efficiently fine-tune LLMs with fewer computational resources
- C. A method for cooling down data centers
- D. A protocol for transmitting voice data
What is the 'Simulated Annealing' algorithm used for?
- A. Cooling down a computer's CPU
- B. Finding an approximate global optimum of a given function
- C. Generating realistic weather in video games
- D. Simulating the melting of metals
Which company released the BERT (Bidirectional Encoder Representations from Transformers) model in 2018, revolutionizing search and NLP?
- A. Microsoft
- B. Google
- C. Meta
- D. Amazon
Which class of generative models works by adding noise to data and then learning to reverse that process to generate new, high-quality images?
- A. Variational Autoencoders (VAEs)
- B. Diffusion Models
- C. Decision Trees
- D. Support Vector Machines (SVMs)
What framework allows multiple devices to share a global model by training on local data without actually exchanging that data, thus preserving privacy?
- A. Cloud Training
- B. Federated Learning
- C. Centralized Learning
- D. Batch Processing
What mathematical algorithm is used in neural networks to calculate gradients and update weights to minimize errors during training?
- A. Merge Sort
- B. Backpropagation
- C. A* Search
- D. Dijkstra's Algorithm
In 2019, Google claimed to have achieved what milestone when their 53-qubit Sycamore processor solved a problem in 200 seconds that would take a supercomputer 10,000 years?
- A. AI Singularity
- B. Quantum Supremacy
- C. Data Sovereignty
- D. The Turing Threshold
What is 'Over-parameterization' in deep learning?
- A. When a model has too few neurons
- B. When a model has more parameters (weights) than are strictly necessary to fit the training data
- C. When a model is too fast for its hardware
- D. When a model uses too many different colors in its output
Which structure is used to represent data as a network of entities and their interrelations, often used to improve search engine results?
- A. Data Table
- B. Knowledge Graph
- C. Binary Tree
- D. Stack
What is 'Model Distillation' in machine learning?
- A. The process of cleaning data
- B. Training a small, efficient 'student' model to mimic the behavior of a large 'teacher' model
- C. Merging two different models together
- D. Deleting a model when it is no longer useful
Which algorithm is used in RSA encryption?
- A. Compression
- B. Hashing
- C. Asymmetric
- D. Symmetric
What specific training method is used to align Large Language Models with human preferences by using human rankings to train a reward model?
- A. Unsupervised Pre-training
- B. Reinforcement Learning from Human Feedback (RLHF)
- C. Supervised Fine-tuning
- D. Linear Regression
What type of database is specifically designed to store and query high-dimensional data points, making it essential for AI 'memory'?
- A. Relational Database
- B. Vector Database
- C. Graph Database
- D. Key-Value Store
What concept refers to a machine's ability to recognize a concept or object it has never seen during training, usually by using descriptive attributes?
- A. Over-generalization
- B. Zero-shot Learning
- C. Clustering
- D. Batch Normalization
What is the 'Alignment Problem' in the field of artificial intelligence research?
- A. The challenge of aligning the physical parts of a robot
- B. Ensuring that AI systems' goals and behaviors match human values and intentions
- C. The process of organizing data into rows and columns
- D. Aligning the code of different programming languages
Which company developed ChatGPT?
- A. OpenAI
- B. Microsoft
- C. Google
- D. Meta
Which company developed 'TensorFlow'?
- A. Amazon
- B. Meta
- C. Microsoft
- D. Google
What is the 'Bias-Variance Tradeoff' in machine learning?
- A. The cost of hardware vs. software
- B. The balance between model simplicity and complexity to minimize error
- C. The difference between training speed and accuracy
- D. The trade-off between privacy and data volume
Who is credited with creating ELIZA, the world's first chatbot, in the mid-1960s at MIT?
- A. Alan Turing
- B. Joseph Weizenbaum
- C. John McCarthy
- D. Marvin Minsky

AI, Data & Emerging Tech Quiz

AI, Data & Emerging Tech · Hard

Time is up! Quiz Complete!

What refers to the ability of an AI system to continue learning from new data without forgetting what it has previously learned?

What is 'LoRA' (Low-Rank Adaptation) used for in the context of Large Language Models?

What is the 'Simulated Annealing' algorithm used for?

Which company released the BERT (Bidirectional Encoder Representations from Transformers) model in 2018, revolutionizing search and NLP?

Which class of generative models works by adding noise to data and then learning to reverse that process to generate new, high-quality images?

What framework allows multiple devices to share a global model by training on local data without actually exchanging that data, thus preserving privacy?

What mathematical algorithm is used in neural networks to calculate gradients and update weights to minimize errors during training?

In 2019, Google claimed to have achieved what milestone when their 53-qubit Sycamore processor solved a problem in 200 seconds that would take a supercomputer 10,000 years?

What is 'Over-parameterization' in deep learning?

Which structure is used to represent data as a network of entities and their interrelations, often used to improve search engine results?

What is 'Model Distillation' in machine learning?

Which algorithm is used in RSA encryption?

What specific training method is used to align Large Language Models with human preferences by using human rankings to train a reward model?

What type of database is specifically designed to store and query high-dimensional data points, making it essential for AI 'memory'?

What concept refers to a machine's ability to recognize a concept or object it has never seen during training, usually by using descriptive attributes?

What is the 'Alignment Problem' in the field of artificial intelligence research?

Which company developed ChatGPT?

Which company developed 'TensorFlow'?

What is the 'Bias-Variance Tradeoff' in machine learning?

Who is credited with creating ELIZA, the world's first chatbot, in the mid-1960s at MIT?