Generative AI, Part 2

CS123, Intro to AI

Contents

What's Happening this Week

Due Sunday:

• Forum post with questions, answers and comments for online students (Part of your participation grade)

• Exercises on Generative AI, based on the NY Times articles

• Quiz over the lectures/recordings

Due next Thursday:

• Generative AI project

Uses of Generative AI

Types of Generative AI

Here are some examples:

• Chatbots:

  • ChatGPT by OpenAI

  • Claude by Anthropic

  • Copilot by Microsoft

• Simulated human chatbot like Soul Machines

• Text to image generators:

  • Image Creator by Microsoft—Image generator

  • Gemeini by Google—Chatbot and image generator

  • Meta AI (by Facebook's parent)—Chatbot and image generator

• Text to music generators like Avia

• Video generators:

  • Runway—Upload an image and use a text prompt to animate it.

  • Synthesia—Generate presentations with voice, presenter, and graphics.
    Example video presentation

• Notebook LM—create a podcast from a document or web site and more.

Using Generative AI at Work

Generative AI is already being used in many fields. Here are some specific real-world applications:

1. Content Creation:

   • Text Generation: Tools like GPT-3 can generate human-like text for writing articles, summarizing content, creating chatbots, and even composing poetry or stories.

   • Image Synthesis: GANs (Generative Adversarial Networks) can create realistic images, which are used in areas such as game development, movie special effects, and advertising.

2. Healthcare:

   • Drug Discovery: Generative AI helps in designing new molecules for pharmaceuticals, speeding up the process of drug discovery.

   • Medical Imaging: AI can generate detailed medical images for diagnostic purposes, enhancing the accuracy of medical assessments.

3. Fashion and Design:

   • Clothing Design: AI can generate new fashion designs, from clothes to accessories, and even help with pattern-making and fabric selection.

   • Interior Design: Tools that generate 3D models and room layouts based on user preferences are becoming increasingly popular.

4. Music and Art:

   • Music Composition: AI can compose music in various genres, aiding musicians in creating new pieces or generating background scores for videos and games.

   • Art Creation: AI-generated artwork is now being featured in galleries and auctions, pushing the boundaries of creativity.

5. Virtual Environments:

   • Video Game Development: AI can create expansive, realistic virtual worlds and characters, enhancing the gaming experience.

   • Virtual Reality (VR): Generative AI is used to create immersive VR experiences for education, training, and entertainment.

6. Finance:

   • Algorithmic Trading: AI can generate trading strategies and execute trades automatically, optimizing investment portfolios.

   • Fraud Detection: Generative models can identify patterns and anomalies, helping to detect and prevent fraudulent activities.

7. Marketing:

   • Personalized Advertising: AI generates personalized ad content based on user data, improving engagement and conversion rates.

   • Customer Insights: Analyzing consumer behavior to create targeted marketing campaigns.

Ethical issues:

• Deep fakes

• "Cheating". Using something created by AI and saying it was your own creation. As with anything, you should cite your source and attribute it.

  • Examples of attribution, an image:

    

    Image made by Brian Bird using Dall-E 3

  • A poem: A duck with a quack, typed stories, never looked back. With webbed feet on keys, He wrote with ease.

    Poem made by Brian Bird using GPT-4

• Making a machine appear to be a person.

• A lot of the same issues as with training:

  • Energy use

  • Privacy

  • Bias

Intro to AI lecture notes by Brian Bird, written in 2024, are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Note: Microsoft Copilot with GPT-4 was used to draft parts of these notes.