AI Fundamentals Flashcards

1
Q

What can distort our understanding of artificial intelligence?

A.) Solar flares
B.) An unclear definition of artificial
C.) Fictional representations of AI
D.) A narrow view of what constitutes intelligence
E.) C and D

A

Answer: E - C and D
- Fictional representation of AI
- A narrow view of what constitutes intelligence

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2
Q

Which broad category would an AI system fit into if its used to determine the optimal price of an airline ticket?

A.) Numeric prediction
B.) Classification
C.) Robotic navigation
D.) Language processing

A

Answer: A - Numeric Prediction

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3
Q

What limits programmers from handcrafting algorithms to perform tasks we associate with human intelligence?

A.) Not enough memory in modern computers
B.) Laws that prevent the creation of AI
c.) The sheer number of rules to account for, many of which are unknown
D.) Too little coffee, too little time

A

Answer: C - The sheer number of rules to account for, many of which are unknown

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4
Q

True or False: A database of business names, zip codes and market value would be an example of structured data?

A.) True
B.) False

A

Answer: A - True

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5
Q

For AI training to be considered deep learning, what does its neural network need more of?

A.) Nodes
B.) Weights
C.) Layers
D.) Inputs

A

Answer: C - Layers

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6
Q

True or False: The values of weights and biases in a trained neural networks usually have an obvious connection to the inputs

A.) True
B.) False

A

Answer: B - False

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7
Q

What is one way AI improves the customer experience?

A.) By handling complex cases
B.) By repeating the same information until it’s understood
C.) By using bots to solve common issues quickly
D.) A and B

A

Answer: C - By using bots to solve common issues quickly

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8
Q

Salesforce Einstein assists customer service agents by making self-service easier, deflecting routine requests, and:

A.) Mediating the relationship between agents and managers
B.) Accelerating issue resolution
C.) Reminding agents to take frequent breaks
D.) A and C

A

Answer: B - Accelerating issue resolution

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9
Q

Einstein Bots help agents by:

A.) Automatically resolving top customer issues
B.) Collecting qualified customer information
C.) Telling agents what to do
D.) A and B

A

Answer: D - A and B
- Automatically resolving top customer issues
- Collecting qualified customer information

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10
Q

What is a Chatbot?

A.) An application that can seamlessly hand off complex cases to agents
B.) A new type of call center manager
C.) An application that can carry on a chat conversation with a customer
D.) A and C

A

Answer: D - A and C
- An application that can seamlessly hand off complex cases to agents
- An application that can carry on a chat conversation with a customer

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11
Q

How do Einstein Bots collect and qualify information in a conversational manner?

A.) Using natural language understanding
B.) Using natural neural skills
C.) Taking extensive surveys
D.) Using a style guide

A

Answer: A - Using natural language understanding

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12
Q

How do chatbots improve the customer service experience for everyone involved?

A.) By resolving low-level cases, saving time and speeding resolution for customers
B.) By reporting underperformance to human resources promptly
C.) By using natural language understanding to help customers get refunds
D.) By using natural algorithms to coordinate web traffic

A

Answer: A - By resolving low-level cases, saving time and speeding resolution for customers

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13
Q

What is it called when AI interprets everyday language?

A.) Slang translation
B.) Text-to-task
C.) Intention prediction
D.) Natural language processing

A

Answer: D - Natural language processing

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14
Q

If you ask a generative AI what it’s favorite color is, and it responds “blue”, this is an example of what?

A.) Sentience
B.) Opinion
C.) Prediction
D.) Randomness

A

Answer: C - Prediction

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15
Q

New AI model architecture and availability of extensive training data are two factors in the rapid improvement of generative AI. What’s the third?

A.) Increased parallel computing power
B.) AI optimizing AI code
C.) Larger data storage capacity of servers
D.) Faster satellite data connections

A

Answer: A - Increased parallel computing power

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16
Q

True or False: Developers must create their own large language models in order to add natural language processing to their applications

A.) True
B.) False

A

Answer: B - False

17
Q

What is natural language?

A.) The root of all languages
B.) The way humans communicate
C.) How computers speak to each other
D.) The language of plants

A

Answer: B - The way humans communicate

18
Q

In what ways have neural networks impacted NLP?

A.) NLP has become faster
B.) NLP has become more contextually accurate
C.) NLP is no longer important
D.) A and B
E.) A and C

A

Answer: D - A and B
- NLP has become faster
- NLP has become more contextually accurate

19
Q

Which NLP technique uses the part of speech to more accurately find the root of a word?

A.) Segmentation
B.) Tokenization
C.) Stemming
D.) Lemmatization

A

Answer: D - Lemmatization

20
Q

What is the term for finding the underlying structure of text in NLP?

A.) Parts of speech
B.) Parsing
C.) Morphology
D.) Sentiment

A

Answer: B - Parsing