1. Word cloud
120 seconds
In a few words, describe generative AI
2. Slide
60 seconds
Generative AI is a type of Artificial Intelligence (AI) that focuses on creating AI models from a set of data. These models can be used to generate new data from the existing set, or to create new data from scratch based on the existing set. Generative AI has become increasingly popular in recent years due to its ability to create new, unique data that can be used for various purposes.
Generative AI: Creating Artificial Intelligence Through Generative Models
3. Slide
60 seconds
Generative AI is a type of artificial intelligence that is focused on generating new data, such as images, videos, text or sound. It is different from traditional AI, which is focused on analyzing existing data. Generative adversarial networks (GANs) are a type of generative AI that uses two neural networks competing against each other to generate new data. The networks are trained using input data and can generate entirely new data. Generative design is a process that uses generative AI to generate solutions to design problems. It uses algorithms to create a wide range of potential solutions which can be evaluated and adapted to create the optimal design solution.
Concepts:
4. Slide
60 seconds
Generative AI can generate completely novel content, such as artwork, music, and even text, without relying on existing data. Generative AI can be used to create models that can generate an unlimited number of variations of the same content. Generative AI can be used to generate realistic images that may not be recognized as AI-generated by the human eye.
Did you know?
5. Open question
180 seconds
Work together in pairs: What are some of the key considerations to keep in mind when teaching about generative AI?
6. Personalised Feedback
360 seconds
How does generative AI differ from traditional AI approaches in terms of its ability to create and generate new content?
7. Drawings
450 seconds
Brain break: Draw a pizza with legs and arms dancing on a music note
8. Poll
60 seconds
What is Generative AI?
- An algorithm for predicting future outcomes
- A type of artificial intelligence that can generate new content
- A technique used to analyze data patterns
9. Poll
60 seconds
Which field(s) does Generative AI have applications in?
- Art, Music, and Writing
- Financial Forecasting
- Medical Research and Diagnosis
10. Poll
60 seconds
What is an example of a popular Generative AI model?
- BERT (Bidirectional Encoder Representations from Transformers)
- GPT-3 (Generative Pre-trained Transformer 3)
- AlexNet (Convolutional Neural Network)
11. Poll
60 seconds
How does Generative AI differ from other types of AI?
- Generative AI uses unsupervised learning techniques exclusively.
- Generative AI doesn't require training with large datasets.
- Generative AI focuses on creating new content rather than analyzing existing data.
12. Poll
60 seconds
What are some potential ethical concerns related to Generative AI?
- Unemployment due to automation in creative industries.
- "Deepfakes" and the spread of misinformation.
- Misuse of generated content for malicious purposes.
13. Slide
60 seconds
Generative AI is a type of Artificial Intelligence (AI) that focuses on creating AI models from a set of data. These models can be used to generate new data from the existing set, or to create new data from scratch based on the existing set. Generative AI has become increasingly popular in recent years due to its ability to create new, unique data that can be used for various purposes.
Generative AI: Creating Artificial Intelligence Through Generative Models
14. Slide
60 seconds
Generative AI is a type of artificial intelligence that is focused on generating new data, such as images, videos, text or sound. It is different from traditional AI, which is focused on analyzing existing data. Generative adversarial networks (GANs) are a type of generative AI that uses two neural networks competing against each other to generate new data. The networks are trained using input data and can generate entirely new data. Generative design is a process that uses generative AI to generate solutions to design problems. It uses algorithms to create a wide range of potential solutions which can be evaluated and adapted to create the optimal design solution.
Concepts:
15. Slide
60 seconds
Generative AI can generate completely novel content, such as artwork, music, and even text, without relying on existing data. Generative AI can be used to create models that can generate an unlimited number of variations of the same content. Generative AI can be used to generate realistic images that may not be recognized as AI-generated by the human eye.
Did you know?
16. Open question
180 seconds
Work together in pairs: What are some of the key considerations to keep in mind when teaching about generative AI?
17. Personalised Feedback
360 seconds
How does generative AI differ from traditional AI approaches in terms of its ability to create and generate new content?
18. Open question
180 seconds
Work together in pairs: What challenges do you think educators will face when teaching about generative AI?
19. Drawings
450 seconds
Brain break: Draw a pizza with legs and arms dancing on a music note
20. Poll
60 seconds
What is Generative AI?
- An algorithm for predicting future outcomes
- A type of artificial intelligence that can generate new content
- A technique used to analyze data patterns
21. Poll
60 seconds
Which field(s) does Generative AI have applications in?
- Art, Music, and Writing
- Financial Forecasting
- Medical Research and Diagnosis
22. Poll
60 seconds
What is an example of a popular Generative AI model?
- BERT (Bidirectional Encoder Representations from Transformers)
- GPT-3 (Generative Pre-trained Transformer 3)
- AlexNet (Convolutional Neural Network)
23. Poll
60 seconds
How does Generative AI differ from other types of AI?
- Generative AI uses unsupervised learning techniques exclusively.
- Generative AI doesn't require training with large datasets.
- Generative AI focuses on creating new content rather than analyzing existing data.
24. Poll
60 seconds
What are some potential ethical concerns related to Generative AI?
- Unemployment due to automation in creative industries.
- "Deepfakes" and the spread of misinformation.
- Misuse of generated content for malicious purposes.
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