1. Google Cloud
Study Jams
Session 3

2. More Into GenAI
GANs
Cloud and GenAI

3. Generative AI

4. GenAI
Generative model
• Computer model that creates new data.
• Eg: GANs, RNNs, etc.
Large Language model (LLM)
• ML model
• Understands and generates human language

5. GenAI
Large language model
● Content generation
● Natural language understanding
● Translation
● Gaming

6. GANs(Generative Adversarial Networks)
Generator
● Creates something in the form of data
● Adjust it’s creations based on feedback from the discriminator
● Goal is to get better at creating data that resembles real data
Discriminator
● Critic or a detective
● Learns from more examples
● It’s feedback helps the generator improve it’s creations
Competition
● Generator and discriminator engage in a competitive game
● Generator goal is to improve it’s artistry
● Discriminator aims to sharpen it’s detective skills

7. GANs(Generative Adversarial Networks)
Learning

8. GANs(Generative Adversarial
Networks)
Applications
● Image generation
● Deep fakes
● Super resolution
● Style transfer

9. Cloud and GenAI
Data storage
● Remote storage and scalability
● Computing power
● High computing resources
● Flexibility
Accessibility
● Remote access
● Collaboration

10. Cloud and GenAI
Deployment
● Scalable deployment
● Quick prototyping
Security and compliance
● Data security
● Compliance
Updates and maintenance
● Manage services
● Reliability

11. Introduction to Cloud Computing
● What is cloud computing?
● Significance and benefits of using
cloud over conventional method

12. Need of Cloud Computing
● Scalability
● Cost Effectiveness(Pay as you use)
● Accessibility(Global Reach)
● Flexibility
● Disaster Recovery
● Security and compliance

13. Cloud Service models

14. Cloud Service models

20. Thank You for being a good sport!
Happy Learning!