User: Generate 2 technical multiple-choice quiz questions from this transcript about language learning and directions:

[Music] when it comes to ai machine learning and deep learning there is some confusion as to what these words mean and the differences between them so in this video we will explain what ai means and how to differentiate between these three terms so what is artificial intelligence in the broader sense of the word artificial intelligence refers to a machine that is made to simulate human consciousness when the average person thinks of ai they imagine robots that can see move speak think and possibly even feel the way humans do for some the ultimate goal of ai research is to create a sentient conscious being through programming sometimes this is also referred to as artificial general intelligence however in practice most data scientists are using ai at a smaller more practical scale to solve real-world problems such as data analysis manufacturing and customer service in that sense ai is the umbrella term for technology that solves problems autonomously by simulating human intelligence they do this through algorithms designed to analyze input data and produce an output using chatbots for example the input data would be the customer&amp;#39;s inquiry and the output would be the answer to the customer&amp;#39;s inquiry held within the chatbots database what&amp;#39;s more amazing is that ai algorithms can react to input data in various forms [Music] a great example is how you would ask a virtual assistant like amazon alexa or google assistant for the weather report there are multiple ways that you can phrase that query for example what&amp;#39;s the weather what&amp;#39;s the temperature or even how&amp;#39;s the weather looking but by picking up on certain keywords the virtual assistant can respond to all these different variants the current weather is 23 degrees celsius with clear skies so if that&amp;#39;s the definition of ai then how is machine learning different well machine learning is generally considered to be a subset of ai however it&amp;#39;s pretty common to hear the two terms used interchangeably one major difference is that while ai still encompasses the idea of a sentient conscious machine machine learning as a term does not hold those connotations ai is the grand vision of intelligent machines while machine learning consists of the models processes and supporting technology that we&amp;#39;ve been using to get there diving a bit deeper now within machine learning is another sector known as deep learning in a nutshell deep learning is machine learning at the largest scale involving millions of instances of training data and often multiple layers within the neural network as computing power and access to training data has increased researchers have been able to develop machine learning models on a larger scale than ever before eventually this led to the use of a new term deep learning to fully understand its meaning it&amp;#39;s essential to first know a little bit about neural networks simply a neural network is a collection of algorithms designed to take in data and find a solution with the least amount of error they are called neural networks because the design of the nodes inputs and outputs which slightly resemble that of a neuron in the human brain the key differentiator between machine learning and deep learning is in the number of layers of nodes that the input data passes through in the past it was only possible to connect a few layers of nodes due to simple computing limitations however as technology has improved it has become possible to build deeper neural networks with more hidden layers this is the kind of model the data scientists mean when they talk about deep learning to sum things up ai is the grand all-encompassing vision of intelligent machines and machine learning is the processes and tools that are getting us there finally deep learning is machine learning at the largest scale with more sophisticated neural networks exponentially larger data sets and stronger computing power supporting it with this in mind it&amp;#39;s possible to begin navigating through this complex exciting field and figuring out which processes will help to build out your own project [Music] thank you for watching machine learning 101 if you liked what you saw please help us out by liking the video and for more machine learning tutorials under 5 minutes please hit the subscribe button below that&amp;#39;s all see you next time

Each question must have 4 options, 1 correct answer, focusing on vocabulary, phrases, or concepts. Format each question as: 
1. Question text
A) Option1
B) Option2
C) Option3
D) Option4
Correct: C
User: Generate 2 technical multiple-choice quiz questions from this transcript about language learning and directions:

[Music] when it comes to ai machine learning and deep learning there is some confusion as to what these words mean and the differences between them so in this video we will explain what ai means and how to differentiate between these three terms so what is artificial intelligence in the broader sense of the word artificial intelligence refers to a machine that is made to simulate human consciousness when the average person thinks of ai they imagine robots that can see move speak think and possibly even feel the way humans do for some the ultimate goal of ai research is to create a sentient conscious being through programming sometimes this is also referred to as artificial general intelligence however in practice most data scientists are using ai at a smaller more practical scale to solve real-world problems such as data analysis manufacturing and customer service in that sense ai is the umbrella term for technology that solves problems autonomously by simulating human intelligence they do this through algorithms designed to analyze input data and produce an output using chatbots for example the input data would be the customer&amp;#39;s inquiry and the output would be the answer to the customer&amp;#39;s inquiry held within the chatbots database what&amp;#39;s more amazing is that ai algorithms can react to input data in various forms [Music] a great example is how you would ask a virtual assistant like amazon alexa or google assistant for the weather report there are multiple ways that you can phrase that query for example what&amp;#39;s the weather what&amp;#39;s the temperature or even how&amp;#39;s the weather looking but by picking up on certain keywords the virtual assistant can respond to all these different variants the current weather is 23 degrees celsius with clear skies so if that&amp;#39;s the definition of ai then how is machine learning different well machine learning is generally considered to be a subset of ai however it&amp;#39;s pretty common to hear the two terms used interchangeably one major difference is that while ai still encompasses the idea of a sentient conscious machine machine learning as a term does not hold those connotations ai is the grand vision of intelligent machines while machine learning consists of the models processes and supporting technology that we&amp;#39;ve been using to get there diving a bit deeper now within machine learning is another sector known as deep learning in a nutshell deep learning is machine learning at the largest scale involving millions of instances of training data and often multiple layers within the neural network as computing power and access to training data has increased researchers have been able to develop machine learning models on a larger scale than ever before eventually this led to the use of a new term deep learning to fully understand its meaning it&amp;#39;s essential to first know a little bit about neural networks simply a neural network is a collection of algorithms designed to take in data and find a solution with the least amount of error they are called neural networks because the design of the nodes inputs and outputs which slightly resemble that of a neuron in the human brain the key differentiator between machine learning and deep learning is in the number of layers of nodes that the input data passes through in the past it was only possible to connect a few layers of nodes due to simple computing limitations however as technology has improved it has become possible to build deeper neural networks with more hidden layers this is the kind of model the data scientists mean when they talk about deep learning to sum things up ai is the grand all-encompassing vision of intelligent machines and machine learning is the processes and tools that are getting us there finally deep learning is machine learning at the largest scale with more sophisticated neural networks exponentially larger data sets and stronger computing power supporting it with this in mind it&amp;#39;s possible to begin navigating through this complex exciting field and figuring out which processes will help to build out your own project [Music] thank you for watching machine learning 101 if you liked what you saw please help us out by liking the video and for more machine learning tutorials under 5 minutes please hit the subscribe button below that&amp;#39;s all see you next time

Each question must have 4 options, 1 correct answer, focusing on vocabulary, phrases, or concepts. Format each question as: 
1. Question text
A) Option1
B) Option2
C) Option3
D) Option4
Correct: C
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