LinkedIn Learning- Generative AI
What will be the main benefit of generative AI in the next years?
Automate repetitive tasks and liberate humanity from dull, difficult, or robotic jobs
if your reasoning engine response is problematic (i.e. inaccurate, discriminatory, limited in view, etc) what should you do?
Continue iterating. Keep regenerating and refining the prompt to get a more accurate, better result.
It is correct to say "AI is replacing humans"?
FALSE
Reasoning engines are an all-knowing source of truth and should be trusted implicitly
FALSE
True or False: Reasoning engines are an all-knowing source of truth and should be trusted implicitly
FALSE
What shall be in the center of all (generative) AI research and development?
Human creativity and human decision-making
How do human supervisors assist in training a reasoning engine?
In early training phases, human supervisors oversee the process, guiding the model towards accurate responses and contributing to its knowledge development
In prompt engineering, what is one-shot or few-short learning?
It refers to how much instruction you provide in order to guide the answer. This may involve including examples of what a "correct" answer may look like.
Why did some of the earliest AI systems focus on board games such as checkers and chess?
It's easiest to make a computer system seem intelligent when it's working with set rules and patterns
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?
Limit the chatbot to customer service questions and no other purpose.
Three of these actions will help if you're having trouble using conversational-style Bing chat. Which action won't help?
Make sure you are signed into your Microsoft account.
Do natural language models like Chat GPT understand the text they write?
No they do not. They synthetically mimic human language. "understanding" is a function that is unique to consciousness-based biological organisms.
Do you need to have a technical AI background in order to start a generative AI venture?
No. As a business leader with no technical background, you can either make partnerships...
The invention of generative AI can be likened to what other monumental discovery?
Photography, because it is a true creative revolution
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?"
Role play
What should we be doing if we have doubts, anxieties, or fear over AI and our future?
Seek to inform ourselves better to overcome these fears. The nature of a singular fear is often related to complex web of several different fears in our subconscious, we shall inquire to transcend these fears.
how can a company best build customer trust, which can translate to a loyal customer base
Share a transparent privacy policy
Riva considers herself a prompt engineer. What does this mean?
She can create a prompt with samples of her question and the answers that she would like to see.
You want to get clarification on a question you posed in Bing chat. Which action will not help?
Start a new topic on the same question
How does a GAN network improve its ability to generate better content?
The generator and discriminator parts of the network work together in a competition to improve the generator's ability to create realistic data
You're a product manager who's in charge of building a weak AI expert system that will give tax advise.... what's one of the biggest challenges with this system?
There will be too many tax combinations for the experts to cover with one system
What are Midjourney, DALL-E, and Stable Diffusion and which industries are their early adopters?
They are primary text-to-image generation services and models. Art, filmmaking, fashion, and marketing are the first industries to widely adopt their use.
How are reasoning engines an improvement over search engines when it comes to entering what you are looking for?
They can understand your intent and not just the words you used
Why is the presence of a board of ethical use of AI advised for every AI company?
To make sure we overcome misinformation we have been subject to in media around
What are the top moral and executive skill sets required when working with generative AI?
Transparency, fairness, empathy and responsibility. Approach the production and all operations with caution, always ask "who is benefitting" from our generative AI solution.
In most instances, how should you craft your prompts?
Use Clear language with proper grammar
Bing chat has composed a collection letter for you, but you aren't entirely happy with the results. Which is the best choice of action you should take?
Use the letter as a starting point and edit it until it fits your needs
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
How can VAEs can be used in anomaly detection?
VAEs can be trained on a dataset of normal data, and later on be used to identify instances that deviate from the normal data
What will be the most significant impact of generative AI on the future of jobs?
We will focus on what makes us unique as a species: our consciousness and our vision
Which item should include a disclosure that it was created using Bing chat?
a housing contract between a landlord and tenant
What is an AI model?
a model is a set of algorithms that have been trained on a specific dataset
how can you best describe the cost function as it applies to neural networks?
a number the system uses to measure its answer against the correct answer
When a user enters a query, what does the reasoning engine strive to provide?
a relevant, informative text response using human-like speech
Ahmad is creating technology for a new project. When should the team get together to discuss ethical considerations
before starting the project
how is K nearest neighbor like the old saying, "birds of a feather flock together?"
classify the unknown data against the closet data that you do know
you work for a company that's selling electric cars to consumers. How might this look on an XY diagram?
create a trend line with fuel prices along the X axis and electric car sales on the Y axis
how does the bias-variance trade-off affect machine learning
if the machine makes a change to one, it must consider how the other is affected
What type of misused AI can give false advice, which is extremely dangerous in a situation such as providing medical advice?
inaccurate chatbots
Powerpoint copilot can create a new presentation based on your written prompts or
information in an existing document
ABC corp's management uses AI to provide advice on selecting options for its marketing strategy. How can robust transparency help the company?
it can assist in understanding the input-analysis-output process
how does a reasoning engine's ability to understand and interpret language provide the greatest advantage over a search engine?
it can have an actual conversation with the user
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
it democratizes decision-making around AI tools
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?
it does not yet have enough customers to make supervised learning meaningful.
with an artificial neural network that is the point of having a cost function?
it helps the network determine the cost of the error so they can make larger or smaller adjustments to its guesses
How does an artificial neural network learn?
it looks at the data and makes guesses, then compares those guesses to the correct answer.
you work for a security firm that wants a use an artificial neural network.... what would the artificial neural network now do to try and improve?
it will adjust the weights of the connections to see if it does a better job making a prediction
What is the most notable functionality of Natural Language models like Chat GPT?
its large scale capability to generative human-like text
Why might you want to use reinforcement learning instead of unsupervised learning?
reinforcement learning allows the machine to make predictions and create strategies instead of just clustering the data
if you want to ask a work copilot to use info from a separate doc that referenced doc must be
shared in teams, or stored on OneDrive or Sharepoint
why, more than any other reason, should a company perform a privacy audit?
so it can develop a company-wide privacy audit
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
somebody in the meeting clicks the copilot option and turns on transcript feature
you're a preschool worker and you want to teach your class the letters in the alphabet.... So the incorrect students compare their block to the letter "B" on the board, recognize the error and then decide to get another block. Why type of learning is this?
supervised learning
Excel copilot can only analyze data in a spreadsheet if
the cells you want t analyze are formatted as a table
which three sources of data can Bing chat summarize for you
the content of the current website, word doc open in browser, text you have pasted
Excel copilot can only be used if
the file you are working on is stored on OneDrive, SharePoint or Teams
what is a common reason the summary option may not be available in Outlook
the message you have selected is very short and does not have enough info to summarize
kira is building a neural network to identify customer returns using binary classification of defective or unsatisfied. in which layer of this neural network will Kira have a probability score?
the output layer
Luella seeks medical attention for chest pains. A nurse an artificial intelligence program to diagnose the cause. Why is the system likely not really intelligent?
the program only matches her symptoms to steps in a system an expert created.
what is ensemble modeling?
this is when you use a mix of different machine learning algorithms or data to improve the outcome
What is the primary function of generative AI?
to generate new content such as text, picture, and video
What is the goal of the continuous crawling process of a search engine
to keep the search engine's index up-to-date
Which is not a main function of a search engine?
transforming
What is the most important benefit that the synergy between modern search engines and reasoning engine provides, as far as confidence in the results?
verifying and validating search results
in which situation are ethical considerations the responsibility of a board of directors
when it involves compliance with a regulatory agency
When might a search engine be a superior tool to a reasoning engine?
when you'd like to read further about a subject across a collection of different sources- but not necessarily when you want to ask deeper questions
When might a search engine be superior tool to a reasoning engine?
when you'd like to read further about a subject across a collection of different sources- but not necessarily when you want to ask deeper questions
what is one of the great challenges with supervised learning binary classification?
you need a lot of pre-classified or labeled data for the training set
you work for a credit card company that's trying to do a better job identifying.... what is the challenge with your model?
you underfit the model to the data, the simple rule made too many inaccurate predictions
why is the iteration process necessary when you use a reasoning engine?
you want to keep honing your prompt to get more and better results
