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LINKEDIN LEARNING- GENERATIVE AI
QUESTIONS AND ANSWERS
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 The invention of generative AI can be likened to what other monumental discovery? - --Photography, because it is a true creative revolution What is an AI model? - --a model is a set of algorithms that have been trained on a specific dataset 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... What is the primary function of generative AI? - --to generate new content such as text, picture, and video What is the most notable functionality of Natural Language models like Chat GPT? - --its large scale capability to generative human-like text 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.
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. 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 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 It is correct to say "AI is replacing humans"? - --FALSE 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 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. 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 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 True or False: Reasoning engines are an all-knowing source of truth and should be trusted implicitly - --FALSE When a user enters a query, what does the reasoning engine strive to provide?
- --a relevant, informative text response using human-like speech 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 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. 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. In most instances, how should you craft your prompts? - --Use Clear language with proper grammar 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
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. 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 Reasoning engines are an all-knowing source of truth and should be trusted implicitly - --FALSE 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. 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 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 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 Which item should include a disclosure that it was created using Bing chat? - -- a housing contract between a landlord and tenant Excel copilot can only be used if - --the file you are working on is stored on OneDrive, SharePoint or Teams
Ahmad is creating technology for a new project. When should the team get together to discuss ethical considerations - --before starting the project 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 in which situation are ethical considerations the responsibility of a board of directors - --when it involves compliance with a regulatory agency how can a company best build customer trust, which can translate to a loyal customer base - --Share a transparent privacy policy why, more than any other reason, should a company perform a privacy audit? - --so it can develop a company-wide privacy audit 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 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 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.
How does an artificial neural network learn? - --it looks at the data and makes guesses, then compares those guesses to the correct answer. 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. 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 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 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 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 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
