Generative AI Models Flashcards
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Questions and Answers

Why do the healthcare and medical insurance industries caution against using machine learning?

They may be decisions that humans cannot understand.

What type of impact does artificial intelligence have on robotics?

AI systems can create robots that can more easily learn new tasks.

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

IoT devices will be a great source of 'real world' data.

Why would a new online camping goods store use unsupervised learning?

<p>It does not yet have enough customers to make supervised learning meaningful.</p> Signup and view all the answers

What type of learning is demonstrated when students compare their blocks to the letter 'B' on the board?

<p>supervised learning</p> Signup and view all the answers

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

<p>Reinforcement learning allows the machine to make predictions and create strategies instead of just clustering the data.</p> Signup and view all the answers

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

<p>You need a lot of pre-classified or labeled data for the training set.</p> Signup and view all the answers

How might a regression analysis based on fuel prices look on an XY diagram?

<p>Create a trendline with fuel prices along the X axis and electric car sales on the Y axis.</p> Signup and view all the answers

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

<p>Classify unknown data against the closest data that you do know.</p> Signup and view all the answers

What is ensemble modeling?

<p>A mix of different machine learning algorithms or data to improve the outcome.</p> Signup and view all the answers

What is the challenge with the model created by the credit card company for detecting fraudulent transactions?

<p>You underfit the model to the data, the simple rule made too many inaccurate predictions.</p> Signup and view all the answers

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

<p>If the machine makes a change to one, it must consider how the other is affected.</p> Signup and view all the answers

In which layer of a neural network will Kira have a probability score?

<p>the output layer</p> Signup and view all the answers

What would an artificial neural network do to try and improve its prediction after initializing with random weights?

<p>It will adjust the weights of the connections.</p> Signup and view all the answers

What is the point of having a cost function in an artificial neural network?

<p>It helps the network determine the cost of the error.</p> Signup and view all the answers

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

<p>a number the system uses to measure its answer against the correct answer</p> Signup and view all the answers

What is an AI model?

<p>A model is a set of algorithms that have been trained on a specific dataset.</p> Signup and view all the answers

What is a key benefit of using generative AI for repetitive or computational tasks?

<p>It allows humans to focus on more creative and strategic activities.</p> Signup and view all the answers

What is the difference between generative AI and other types of AI that generate content?

<p>Generative AI's primary function is to create content.</p> Signup and view all the answers

Do you need to have a technical AI background in order to start a generative AI venture?

<p>False</p> Signup and view all the answers

What does the term open source mean in the context of generative AI models?

<p>It means that the models are publicly available for anyone to use and modify.</p> Signup and view all the answers

How can Variational Autoencoders (VAEs) be used in anomaly detection?

<p>VAEs can be trained on a dataset of normal data, and later on be used to identify instances that deviate from the normal data.</p> Signup and view all the answers

What is one real-world application of Variational Autoencoders (VAE) in anomaly detection?

<p>Detecting defects in industrial quality control by identifying images of products that deviate from a dataset of normal products.</p> Signup and view all the answers

What is the most notable functionality of Natural Language models like Chat GPT?

<p>Its large scale capability to generate human-like text.</p> Signup and view all the answers

What is GPT and why has it become notable in the field of natural language processing?

<p>GPT is a language model developed by OpenAI that can take in a prompt and generate text based on it, making it useful for a multitude of tasks.</p> Signup and view all the answers

What are Midjourney, DALL-E, and Stable Diffusion, and which industries are their early adopters?

<p>They are primary text-to-image generation services and models. Art, filmmaking, fashion, and marketing are the first industries to widely adopt their use.</p> Signup and view all the answers

Why might marketers use text-to-image models in the creative process?

<p>They can be more efficient to use and provide a unique look and feel.</p> Signup and view all the answers

How does a GAN network improve its ability to generate better content?

<p>The generator and discriminator parts of the network work together in a competition to improve the generator's ability to create realistic data.</p> Signup and view all the answers

What is the purpose of the discriminator in a GAN model?

<p>Automate repetitive tasks and liberate humanity from dull, dirty, difficult, or dangerous jobs.</p> Signup and view all the answers

In considering the future implications of generative AI on the job market, what skill set is essential for individuals seeking to thrive in this evolving landscape?

<p>Development of unique personal emotional, interpersonal, and creative abilities.</p> Signup and view all the answers

What are the top moral and executive skill sets required when working with generative AI?

<p>Transparency, fairness, empathy, and responsibility. Approach production and operations with caution, always asking, 'Who is benefiting?' from our generative AI solution.</p> Signup and view all the answers

When considering the integration of generative AI tools in business operations, what is the primary emphasis regarding the role of executive leadership and organizational strategy?

<p>Prioritizing human-centered approaches, ethical considerations, and maintaining human control over AI-generated content.</p> Signup and view all the answers

How should we think of the relationship between humans and generative AI?

<p>Human input and creativity will work in conjunction with AI to produce meaningful progress.</p> Signup and view all the answers

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

<p>To keep the search engine's index up-to-date.</p> Signup and view all the answers

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

<p>A relevant, informative text response using human-like speech.</p> Signup and view all the answers

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

<p>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.</p> Signup and view all the answers

Which is not a main function of a search engine?

<p>True</p> Signup and view all the answers

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

<p>Verifying and validating search results.</p> Signup and view all the answers

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

<p>Use the search engine to find basic information, and then use the reasoning engine for a deeper dive.</p> Signup and view all the answers

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

<p>It can have an actual conversation with the user.</p> Signup and view all the answers

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

<p>They can understand your intent and not just the words you used.</p> Signup and view all the answers

How do human supervisors assist in training a reasoning engine?

<p>In early training phases, human supervisors oversee the process, guiding the model towards accurate responses and contributing to its knowledge development.</p> Signup and view all the answers

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

<p>False</p> Signup and view all the answers

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

<p>Continue iterating. Keep regenerating and refining the prompt to get a more accurate, better result.</p> Signup and view all the answers

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

<p>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.</p> Signup and view all the answers

In most instances, how should you craft your prompts?

<p>Use clear language with proper grammar.</p> Signup and view all the answers

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

<p>You want to keep honing your prompt to get more and better results.</p> Signup and view all the answers

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

<p>She can create a prompt with samples of her question and the answers that she would like to see.</p> Signup and view all the answers

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?'

<p>Role play.</p> Signup and view all the answers

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

<p>False</p> Signup and view all the answers

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

<p>Balanced - is the default style that is informative and friendly, resulting in reasonable and fast responses.</p> Signup and view all the answers

What does the Turn on button do?

<p>It enables context-aware questions. This allows you to ask Bing Chat questions about the current website you are visiting or the PDF file you are using.</p> Signup and view all the answers

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

<p>A Chrome browser.</p> Signup and view all the answers

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

<p>A chatbot.</p> Signup and view all the answers

Which three sources of data can Bing Chat summarize for you? (Select all that apply)

<p>Text you have pasted into the Bing chat sidebar</p> Signup and view all the answers

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

<p>Select the Broom icon. Taraji can select either the Broom icon or the New Topic button to start a new topic.</p> Signup and view all the answers

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

<p>It will not create images infringing on conditions. Overall, no images are created that disrupt terms of service and community guidelines.</p> Signup and view all the answers

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

<p>Go to Bing.com and select Chat. This takes Clarence to the root site of Bing, the search engine where he can begin using Chat.</p> Signup and view all the answers

Which option is prohibited under the Add an Image prompt?

<p>Design an image. Creating an image is accomplished by entering the requirements in the prompt.</p> Signup and view all the answers

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?

<p>By using a precise style to present a summary with bullet points.</p> Signup and view all the answers

How are images created in Bing Chat?

<p>Dall-E 3.</p> Signup and view all the answers

What would Bing Chat be least likely to provide?

<p>An increase in pay.</p> Signup and view all the answers

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?

<p>By using the Compose tab.</p> Signup and view all the answers

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?

<p>Graphics.</p> Signup and view all the answers

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

<p>A housing contract between a landlord and tenant.</p> Signup and view all the answers

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

<p>Double-check the answers. It is recommended that for risky scenarios, such as those involving legal or safety issues, you should always verify the results cited.</p> Signup and view all the answers

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?

<p>Review current legislation on using AI-generated text.</p> Signup and view all the answers

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

<p>With Bing Chat Enterprise, business data is protected. The data from a company is their own; it is protected and never shared for any purpose with outside entities.</p> Signup and view all the answers

Excel Copilot can only be used if _____.

<p>the file you are working on is stored on OneDrive, SharePoint, or Teams.</p> Signup and view all the answers

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

<p>the cells you want to analyze are formatted as a table.</p> Signup and view all the answers

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 _____.

<p>somebody in the meeting clicks the Copilot option and turns on the transcript feature.</p> Signup and view all the answers

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

<p>information in an existing document.</p> Signup and view all the answers

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

<p>The message you have selected is very short and does not have enough information to summarize.</p> Signup and view all the answers

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

<p>shared in Teams or stored on OneDrive, SharePoint.</p> Signup and view all the answers

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

<p>Inaccurate chatbots.</p> Signup and view all the answers

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

<p>It can assist in understanding the input-analysis-output process.</p> Signup and view all the answers

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?

<p>Limit the chatbot to customer service questions and no other purpose.</p> Signup and view all the answers

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

<p>Before starting the project.</p> Signup and view all the answers

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?

<p>It democratizes decision-making around AI tools.</p> Signup and view all the answers

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

<p>When it involves compliance with a regulatory agency.</p> Signup and view all the answers

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

<p>Share a transparent privacy policy.</p> Signup and view all the answers

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

<p>So it can develop a company-wide privacy policy.</p> Signup and view all the answers

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

<p>It's easiest to make a computer system seem intelligent when it's working with set rules and patterns.</p> Signup and view all the answers

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?

<p>There will be too many tax combinations for the experts to cover with one system.</p> Signup and view all the answers

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?

<p>The program only matches her symptoms to steps in a system an expert created.</p> Signup and view all the answers

How does an artificial neural network learn?

<p>It looks at the data and makes guesses, then it compares those guesses to the correct answer.</p> Signup and view all the answers

Study Notes

AI Models and Generative AI

  • An AI model consists of algorithms trained on specific datasets, enabling it to perform certain tasks.
  • Generative AI enhances productivity by allowing humans to concentrate on creative and strategic endeavors rather than repetitive tasks.
  • The primary function of generative AI is content creation, distinguishing it from other AI types.
  • Business leaders can venture into generative AI without a technical background by partnering with research institutions or utilizing open-source models.

Open Source and Variational Autoencoders (VAE)

  • Open source refers to generative AI models that are publicly accessible for modification and use.
  • Variational Autoencoders (VAEs) can identify anomalies by training on normal data sets and detecting deviations.

Natural Language Processing and GPT

  • Natural Language models, like Chat GPT, are noted for generating human-like text at scale.
  • GPT, developed by OpenAI, processes prompts to produce relevant text, making it versatile for various tasks.
  • Midjourney, DALL-E, and Stable Diffusion are text-to-image generation services primarily adopted by art, filmmaking, fashion, and marketing sectors.

Marketers and Generative AI

  • Marketers utilize text-to-image models for efficiency and unique aesthetic appeal in the creative process.

Generative Adversarial Networks (GANs)

  • GAN networks consist of a generator and a discriminator that compete to enhance the generator's ability to craft realistic data.

Job Market and Ethical Considerations

  • The future job market will require individuals to develop emotional, interpersonal, and creative skills to thrive alongside AI advancements.
  • Key ethical skills in working with generative AI include transparency, fairness, empathy, and responsibility.

Integration of Generative AI in Business

  • Executive leadership should focus on human-centered approaches and ethical considerations when incorporating generative AI tools in business.

Human and AI Relationship

  • Collaboration between human creativity and generative AI is essential for achieving meaningful advancements.

Search Engines and Reasoning Engines

  • A search engine’s continuous crawling process keeps its index updated, making it essential for timely information retrieval.
  • Reasoning engines aim to provide relevant, informative responses using natural language processing capabilities.
  • Users should employ both search and reasoning engines to gather foundational knowledge and deeper insights, respectively.

Prompt Engineering and Chat Features

  • Effective prompt crafting involves clear language and proper grammar for better responses from reasoning engines.
  • In prompt engineering, one-shot or few-shot learning incorporates minimal instructions or examples to guide the AI's output.

Bing Chat Features

  • Microsoft Bing includes a chat feature powered by generative AI, enabling conversational capabilities without needing repeated context.
  • Bing Chat can summarize content from the current website, Microsoft Word documents, or pasted text, enhancing user experience.
  • The Turn on button in Bing Chat allows context-aware questions, improving interaction based on current browsing activity.

Copilot Features in Microsoft Products

  • Excel Copilot works on files stored in OneDrive, SharePoint, or Teams, and requires table-formatted data for analysis.
  • PowerPoint Copilot can derive new presentations from prompts or existing documents.

AI Transparency and Ethical Usage

  • Implementing transparent privacy policies can help businesses build customer trust and loyalty.
  • Regular privacy audits are necessary for developing comprehensive company-wide policies on AI use.

Weak AI and Expert Systems

  • Weak AI systems, like those used for tax advice, struggle with an overwhelming number of possible scenarios resulting in a combinatorial explosion.
  • The healthcare industry cautions against machine learning for health decisions due to unclear machine logic that can lead to errors.

Robotics and IoT

  • AI promotes adaptive learning in robotics, enabling machines to learn tasks through experience rather than explicit programming.
  • The Internet of Things (IoT) provides valuable real-world data to enhance AI's capabilities for making informed predictions.

Unsupervised Learning Applications

  • Unsupervised learning is useful for new businesses with limited customer data, identifying potential product connections without prior labels.### Supervised Learning
  • Involves using labeled data to train a model.
  • Children identifying blocks based on the letter "B" exemplifies this process by correcting mistakes through comparison.
  • Mistakes lead to adjustments, reinforcing correct classifications, demonstrating a key aspect of supervised learning.

Reinforcement vs. Unsupervised Learning

  • Reinforcement learning creates strategies for predictions rather than just clustering data.
  • Unlike unsupervised learning, which categorizes existing data into clusters, reinforcement learning seeks innovative solutions (e.g., encouraging new purchases).

Challenges of Supervised Learning

  • Requires extensive labeled training data for accurate predictions.
  • Difficulty arises in acquiring a sufficient number of pre-classified examples, which can hinder the effectiveness of supervised learning models.

Regression Analysis

  • Used by data science teams to study relationships between variables (e.g., fuel prices and electric car sales).
  • An XY diagram visualizes data points with a trendline indicating the relationship, aiding in predictive analytics.

K Nearest Neighbor (KNN)

  • Classifies unknown data based on its proximity to known data points.
  • The analogy of "birds of a feather flock together" effectively illustrates KNN's clustering principle.

Ensemble Modeling

  • Combines multiple machine learning algorithms to enhance predictive accuracy.
  • Techniques include bagging (using variations of a single algorithm) and stacking (integrating multiple algorithms for improved predictions).

Fraud Detection and Underfitting

  • Unsupervised learning can lead to overly simplistic models that misclassify data, such as fraud patterns.
  • Underfitting results in a failure to capture complexities of larger datasets, while overfitting introduces unnecessary complexity.

Bias-Variance Trade-Off

  • Machine learning models face a dilemma between bias (error due to overly simplistic assumptions) and variance (error due to excessive complexity).
  • Adjusting one aspect often affects the other, impacting model reliability.

Neural Network Output Layer

  • Contains probability scores for classifications, like defective or unsatisfactory, guiding final output decisions.
  • Critical for determining the success of binary classifications within the network.

Self-Tuning Neural Networks

  • Adjust connection weights based on prediction accuracy against labeled data, enhancing learning effectiveness.
  • Dynamic tuning process allows for continuous improvement of predictions.

Cost Function in Neural Networks

  • Serves as a measure of prediction error, guiding weight and bias adjustments during training.
  • Gradient descent calculations help optimize these adjustments, dictating the magnitude of changes based on error severity.

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Test your knowledge about AI models and the principles of generative AI with these flashcards. Understand the differences, benefits, and definitions related to generative AI. Ideal for anyone looking to deepen their understanding of this innovative technology.

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