Fall 2024 U of A DataLab Series
Exploring the LLM Frontier: From Hugging Face to RAG and Beyond
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.
Why Learn About Generative AI?
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.
Applications of Generative AI
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.
REGISTER for the Series and attend the workshops that interest you!
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When: Thursdays, 2:00 - 3:00 PM
Where: Weaver Science-Engineering Library, Rm 212 and on Zoom
Instructor: Carlos Lizárraga and Enrique Noriega Atala
YouTube: U of A DataLab YouTube videos
10/24 Introduction to Gradio
10/31 Introduction to RAG