This course is tailored for all, encompassing professionals, executives, students, and hobbyists, who are keen to explore generative AI and utilize its potential in their professional and personal lives.
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Coursera: Generative AI Introduction and Applications |
This course is tailored for all, encompassing professionals, executives, students, and hobbyists, who are keen to explore generative AI and utilize its potential in their professional and personal lives. This course serves as your initial journey in comprehending the potential of generative AI, which is driven by various models, including large language models (LLMs).
Applications and Tools of Generative AI
1. Selina is struggling to put together a presentation. She asks ChatGPT, "Can you create slides on the last remaining wildflowers in the rainforest?"- ChatGPT will respond with some basic information on forest flowers.
- ChatGPT will start to translate your request into another language.
- ChatGPT will suggest the title, content, and visuals for slides.
- ChatGPT will provide a step-by-step guide on saving the rainforest.
- PolyCoder ChatGPT
- GitHub Copilot
- Amazon CodeWhisperer
- Outpainting
- Inpainting
- Image fusion
- Style transfer
- Freepik
- Stable Diffusion
- StyleGAN
- DALL-E
Introduction and Capabilities of Generative AI
1. Using a generative Al tool, Emily wants to create an image of a zebra-striped cat with a purple hat. Identify the best prompt for this task.- What's the difference between a zebra and a cat?
- List cat breeds that look like zebras or have stripes.
- Find a zebra-striped cat that wears a purple hat.
- Draw an image of a zebra-striped cat with a purple hat.
- Ability to generate dynamic films
- Ability to augment data
- Ability to synthesize images
- Ability to create virtual worlds
- Virtual avatars
- Clear and contextually relevant text
- Augmented data sets
- Synthetic images
- Image prompts
- Al-generated code
- Text prompts
- Video prompts