What is the goal of the continuous crawling process of a search engine? To keep the search engine's index up-to-date To improve the user interface To enhance the search engine's speed To reduce server load

To keep the search engine's index up-to-date

When a user enters a query, what does the reasoning engine strive to provide? A visual representation of data A relevant, informative text response using human-like speech A list of web links A summary of related topics

A relevant, informative text response using human-like speech

When might a search engine be a superior tool to a reasoning engine? When you require real-time data analysis When you need a personalized response When you'd like to read further about a subject across a collection of different sources When you want to ask deeper questions

When you'd like to read further about a subject across a collection of different sources

What is the most important benefit that the synergy between modern search engines and reasoning engines provides, as far as confidence in the results? Verifying and validating search results Improving user interface Reducing server load Increasing search speed

Verifying and validating search results

How can a user best combine a search engine and a reasoning engine to find information about an unknown topic? Use the search engine to find basic information, and then use the reasoning engine for a deeper dive. Use only the reasoning engine for all information. Use only the search engine for all information. Alternate between both engines randomly.

Use the search engine to find basic information, and then use the reasoning engine for a deeper dive.

How does a reasoning engine's ability to understand and interpret language provide the greatest advantage over a search engine? It can store more data. It can have an actual conversation with the user. It can load pages faster. It can display more search results.

It can have an actual conversation with the user.

How are reasoning engines an improvement over search engines when it comes to entering what you are looking for? They can load pages faster. They can understand your intent and not just the words you used. They can display more advertisements. They can store more data.

They can understand your intent and not just the words you used.

How do human supervisors assist in training a reasoning engine? By writing all the code for the engine By marketing the engine to users By providing hardware support By overseeing the process and guiding the model towards accurate responses

By overseeing the process and guiding the model towards accurate responses

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Computer Science - Software Engineering

user_jevbwl Created by 7 mon ago

Cards in this deck(84)

What is the goal of the continuous crawling process of a search engine?

When a user enters a query, what does the reasoning engine strive to provide?

When might a search engine be a superior tool to a reasoning engine?

Which is not a main function of a search engine?

What is the most important benefit that the synergy between modern search engines and reasoning engines provides, as far as confidence in the results?

How can a user best combine a search engine and a reasoning engine to find information about an unknown topic?

How does a reasoning engine's ability to understand and interpret language provide the greatest advantage over a search engine?

How are reasoning engines an improvement over search engines when it comes to entering what you are looking for?

How do human supervisors assist in training a reasoning engine?

True or False: Reasoning engines are an all-knowing source of truth and should be trusted implicitly.

If your reasoning engine response is problematic (i.e., inaccurate, discriminatory, limited in view, etc.) what should you do?

In prompt engineering, what is one-shot or few-shot learning?

In most instances, how should you craft your prompts?

Why is the iteration process necessary when you use a reasoning engine?

Riva considers herself a prompt engineer. What does this mean?

What is the following creative type of prompt known as: "Imagine you're the manager of a small boutique video editing company. What are 10 innovative marketing ideas that could attract new business?"

Shandra is getting ready to compose a Bing Chat for the first time. What type of conversation style will be used?

What does the Turn on button do?

Which environment does not allow a user to interact with Microsoft Bing Chat?

Microsoft Bing now includes a Chat Generative Pre-trained Transformer. What is this?

Which three sources of data can Bing Chat summarize for you?

Taraji asks Bing Chat several questions related to architecture for buildings. Now she wants to ask a brand-new question. What should she do?

Which guideline will the Bing Chat Dall-E AI image generator follow when an image is created?

Clarence wants to use the entire screen in Bing Chat. How will he do this?

Which option is prohibited under the Add an Image prompt?

The boss wants an article she received summarized before a meeting that starts in a half hour. How can Bing Chat help with this task?

How are images created in Bing Chat?

What would Bing Chat be least likely to provide?

Alex is asked to speak at a conference and has the information in a Word document open on his system. He needs to create a short summary of who he is. How can Alex do this with Bing Chat?

Olaf is asked to compose text for a post on LinkedIn. He decides to use Bing Chat to help. Which of the following would Bing Chat intentionally leave out?

Which item should include a disclosure that it was created using Bing chat?

Tomas uses Bing Chat for a safety scenario. How should he address the results provided?

Beth needs to create a contract and decides to use Bing Chat to help her. What should she do before using any content from AI?

What is the main difference between Bing Chat and Bing Chat Enterprise?

Excel Copilot can only be used if _____.

Excel Copilot can only analyze data in a spreadsheet if _____.

If you join a Teams meeting that's already in progress, you can ask Copilot to summarize the topics that were discussed that you may have missed. This will only work if _____.

PowerPoint Copilot can create a new presentation based on your written prompts or _____.

What is a common reason the summary option may not be available in Outlook?

If you want to ask Word Copilot to use information from a separate document, that referenced document must be _____.

What type of misused AI can give false advice, which is extremely dangerous in a situation such as providing medical advice?

ABC Corp's management uses AI to provide advice on selecting options for its marketing strategy. How can robust transparency help the company?

Layla learns that her company's AI-driven chatbot has been giving inaccurate and sometimes rude responses to customers' questions. How should Layla deal with this issue?

Ahmad is creating a technology team for a new project. When should the team get together to discuss ethical considerations?

Why is it a good practice for the C-suite to develop, and perhaps even mandate, an AI training and education program for all employees?

In which situation are ethical considerations the responsibility of a board of directors?

How can a company best build customer trust, which can translate to a loyal customer base?

Why, more than any other reason, should a company perform a privacy audit?

Why did some of the earliest artificial intelligence systems focus on board games such as checkers and chess?

You're a product manager who's in charge of building a weak AI expert system that will give tax advice. You're working with dozens of accountants who go through thousands of different taxpayer scenarios. When a customer asks a question, then the expert system will ask a follow-up question. It will do this until it makes a recommendation. What's one of the biggest challenges with this system?

Luella seeks medical attention for chest pains. A nurse uses an artificial intelligence program to diagnose the cause. Why is this system likely not really intelligent?

How does an artificial neural network learn?

The healthcare and medical insurance industries caution against using machine learning to search for patterns in data, and they do not want machines making decisions about a person's health. Why?

What type of impact does artificial intelligence have on robotics?

What impact will the Internet of Things (IoT) have on artificial intelligence?

A new online camping goods store wants to find connections between products customers buy and other products they might buy. Why would the company use unsupervised learning?

You're a preschool worker and you want to teach your class the letters in the alphabet. So you draw the letter "B" on the board. Then you ask the two-year-old students to find a block with that same letter. Some of the students correctly find the blocks with the letter "B", but some of the students confuse the letter "B" with the letter "D." So the incorrect students compare their block to the letter "B" on the board, recognize the error and then decide to get another block. What type of learning is this?

Why might you want to use reinforcement learning instead of unsupervised learning?

What is one of the greatest challenges with supervised learning binary classification?

You work for a company that's selling electric cars to consumers. The company wants to get the maximum amount of value from its advertising dollars. So it wants to ramp up advertising when it thinks that customers would be most interested in purchasing an electric car. Your data science team wants to create a regression analysis based on fuel prices. How might this look on an XY diagram?

How is K Nearest Neighbor like the old saying, "birds of a feather flock together?"

What is ensemble modeling?

You work for a credit card company that's trying to do a better job identifying fraudulent transactions. So your team uses unsupervised learning to create clusters of transactions that are likely to be fraudulent. The machine identified that when customers are buying electronics it's much more likely to be a fraudulent transaction. So you use this model for your new fraud detection system. Then customers started to complain that they couldn't use their credit cards to purchase any electronics. What is the challenge with your model?

How does the bias-variance trade-off affect machine learning?

Kira is building a neural network to identify customer returns using binary classifications of defective or unsatisfied. In which layer of this neural network will Kira have a probability score?

You work for a security firm that wants to use an artificial neural network to create a video facial recognition system. So you create a training set with hundreds of images of people that are found in your video footage. You initialize the artificial neural network with random weights assigned to all its connections. When you feed through the first few images the system does a terrible job identifying whether those people are included in the video. What would the artificial neural network now do to try and improve?

With an artificial neural network what is the point of having a cost function?

How can you best describe the cost function as it applies to neural networks?

Imagine that you work for a university that wants to use machine learning and Naive Bayes to predict which students might have difficulty graduating. So you create three predictors. These are financial hardship, grade point average and class attendance. In a meeting, a data scientist points out that you might not want to use class attendance and grade point average because they are strongly autocorrelated. If someone doesn't attend class, then they'll likely get a poor grade. How might you answer this question?

Vera, the company CEO, is exploring the use of artificial intelligence (AI) for her company. What will determine whether or not her company is a good candidate for AI?

Why is it important to understand different machine learning algorithms?

Imagine that you work for a health insurance company. Your company covers a lot of people who suffer from diabetes. The organization wants to research the characteristics of people with diabetes. That way the company can intervene and try to change the customers' behavior to prevent future illness. How can your insurance company use K means clustering to help?

With an artificial neural network, the weights are added to the connections, but the bias is added to the neuron. Why does the network need to be set up this way?

In supervised machine learning what's the difference between training data and test data?

You're a product manager for a team that's using an artificial neural network to develop your product. One of the data scientists says that the back propagation of errors is correcting for guesses that have a steep gradient descent. What is that saying about the network?

What's the difference between classified and clustered data?

Your product manager is working for a website that sells clothing fabrics. You're working on an AI natural language processing product that allows customers to do natural language searches. What will be one of the biggest challenges with your new AI system?

You're a preschool worker and you ask a class of two-year-olds to arrange toy blocks in a way that makes sense to them. One of the two-year-olds creates three groups of blocks based on the color. Another one of the two-year-olds creates five groups of blocks based on the letter painted on the block. What type of learning is this?

A business that uses robotics may also use artificial intelligence rather than machine learning. What is a financial reason for this decision?

What is one of the key advantages to having several hidden layers in your artificial neural network?

Why has machine learning become the dominant form of artificial intelligence?

You take a new job where you need to arrive by bus in 30 minutes. There are two buses available to you. The first is a bus that makes all the local stops. This local bus is quicker if there are just a few people. The second is an express bus that drops you off a few blocks from your job. You try both buses the first week of your job. With the local bus you get to work in 20 minutes, 30 minutes, and 45 minutes. The express bus always gets you to work in 35 minutes. What is the data challenge with these two buses?

What was the core finding of the Chinese room experiment?

What's the biggest difference between symbolic systems and machine learning?

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Career Essentials in Generative AI by Microsoft and LinkedIn

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