When
Thu, Sep 5 2024, 2:00 to 3:00pm
Thu, Sep 12 2024, 2:00 to 3:00pm
Thu, Sep 19 2024, 2:00 to 3:00pm
Thu, Sep 26 2024, 2:00 to 3:00pm
Thu, Oct 3 2024, 2:00 to 3:00pm
Thu, Oct 10 2024, 2:00 to 3:00pm
Thu, Oct 17 2024, 2:00 to 3:00pm
Thu, Oct 24 2024, 2:00 to 3:00pm
Thu, Oct 31 2024, 2:00 to 3:00pm
This series of workshops from the U of A DataLab is taught by Carlos Lizárraga and Enrique Noriega Atala at the Weaver Science-Engineering Library and on Zoom. Generative AI is a subset of artificial intelligence that focuses on creating new content. Unlike traditional AI models that analyze data, generative AI models learn patterns from existing data and generate new, original content. This can range from text, images, music, and even code.
Understanding generative AI is crucial for several reasons:
- Innovation: It's driving groundbreaking advancements in various industries, from art and design to healthcare and science.
- Career Opportunities: The demand for professionals skilled in generative AI is rapidly growing, presenting exciting career prospects.
- Problem-Solving: Generative AI offers innovative solutions to complex challenges, from content creation to drug discovery.
- Ethical Considerations: As generative AI becomes more powerful, it's essential to understand its potential impacts and ethical implications.
The applications of generative AI are vast and expanding rapidly. Some key areas include:
- Content Creation: Generating text, images, music, and videos. Drug Discovery: Accelerating the development of new drugs by designing potential molecules.
- Design: Creating innovative designs for products and architecture.
- Customer Service: Developing advanced chatbots and virtual assistants.
- Education: Personalized learning experiences and intelligent tutoring systems.