Generative AI: Creation, Capabilities and Use cases

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Questions and Answers

What is the primary function of generative AI that distinguishes it from traditional AI?

  • Analyzing existing data to make predictions.
  • Translating languages with improved accuracy.
  • Recommending products based on user preferences.
  • Creating new content from scratch. (correct)

Generative AI relies primarily on predefined rules and patterns to create new content.

False (B)

Name three major capabilities of generative AI.

Diverse content creation, Human-like conversation, Data augmentation

Generative AI models often use ______________ for processing and generating human-like text.

<p>LLMs</p>
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Match the following industries with specific use cases of generative AI:

<p>Healthcare = Tailored treatments and simulated surgeries Gaming = Creation of interactive game worlds Fashion = Virtual try-on experiences Education = Customized learning materials</p>
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According to Goldman Sachs, by approximately what percentage could generative AI help the global economy grow?

<p>7% (C)</p>
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Generative AI is primarily used for automating repetitive tasks rather than enhancing creativity.

<p>False (B)</p>
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In what ways can generative AI aid product development?

<p>Generates ideas and optimizes designs</p>
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In the field of healthcare, generative AI can simulate ________ and produce ________ to aid doctors in developing treatments.

<p>surgeries, medical images</p>
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Which of the following is NOT a typical application of generative AI in the fashion industry?

<p>Predicting stock market trends. (A)</p>
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LLMs are only capable of generating text and cannot be integrated into more advanced AI systems.

<p>False (B)</p>
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What are two domain-specific use cases of generative AI?

<p>Marketing, Creative</p>
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Generative AI enhances the accuracy of machine learning models through ______________.

<p>data augmentation</p>
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In education, how does generative AI enhance the learning experience?

<p>By creating customized learning materials. (C)</p>
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Generative AI's impact is limited to digital content creation and does not affect physical product development.

<p>False (B)</p>
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Which sector benefits from generative AI by creating personalized advertisements and email campaigns?

<p>Marketing (B)</p>
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Name two industries, besides education and healthcare, that are being reshaped by Generative AI?

<p>Gaming, Fashion</p>
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Generative AI uses ____________ techniques and relies on vast ____________ to generate new ideas.

<p>deep learning, datasets</p>
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What type of content can generative AI NOT create?

<p>Physical objects directly (A)</p>
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Generative AI is expected to decrease productivity growth worldwide.

<p>False (B)</p>
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Flashcards

Generative AI (GenAI)

AI that creates new content from scratch, such as text, images, music, and videos.

How GenAI Works

Using deep learning on vast datasets to generate novel outputs, instead of relying on predefined rules.

Large Language Models (LLMs)

AI models for processing and generating human-like text, used in text generation, translation, and summarization.

Capabilities of Generative AI

Creating new content, enabling human-like conversations, and generating new training data to improve ML model accuracy.

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Potential Economic Impact of GenAI

Around a 7% increase, or $7 trillion, potentially boosting productivity growth by 1.5% over ten years.

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GenAI in Marketing

Personalized ads, email campaigns, and social media posts based on individual preferences and behaviors.

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GenAI in Creative Fields

Producing unique digital art, music, and video content, or generating film and video game soundtracks.

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GenAI in Product Development

Generating ideas and optimizing designs by analyzing trends and consumer feedback.

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GenAI in Healthcare

Tailored treatments, simulated surgeries and medical images.

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GenAI in Gaming

Generating levels, characters and objects that adapt to player behavior.

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GenAI in Fashion

Virtual try-ons and personalized fashion recommendations based on customer behavior and preferences.

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GenAI in Education

Customized learning materials and interactive environments that adjust to individual student needs.

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Study Notes

  • Generative AI (GenAI) is an AI technology that creates new data like text, images, music, and videos.
  • Unlike traditional AI, GenAI does not depend on predefined rules but uses deep learning and vast datasets to produce novel content and ideas.
  • Large language models (LLMs) are used in GenAI for processing and creating human-like text, performing tasks like text generation, translation, and summarization.
  • LLMs can be integrated into advanced AI systems for decision-making and problem-solving.

Capabilities of Generative AI

  • It facilitates the creation of diverse content formats, including text, images, videos, and audio.
  • It enables interactions with human-like intelligence.
  • It allows for data augmentation, enhancing the accuracy of machine learning models through the generation of new training data.
  • It may help the global economy grow by ~7%, nearly $7 trillion
  • It could elevate productivity growth by 1.5% over ten years

Use Cases of Generative AI

  • Marketing: Creates personalized ads, email campaigns, and social media posts.
  • Creative Fields: Produces unique digital art, music, and video content for advertising and generates film or video game soundtracks.
  • Product Development: Generates ideas and optimizes designs by analyzing trends and consumer feedback.
  • Healthcare: Supports physicians with tailored treatments, simulates surgeries, and produces medical images.
  • Gaming: Creates interactive game worlds by generating new levels, characters, and objects.
  • Fashion: Designs virtual try-on experiences and recommends personalized fashion choices.
  • Education: Creates customized learning materials and interactive environments that adapt to students' learning styles.

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