| Description: |
Some Prior Knowledge Required
This intermediate workshop is designed for faculty/staff with a technical background who are interested in deepening their understanding of Generative AI (GenAI) and its applications. Participants will explore the distinctions between GenAI and traditional AI, critically evaluate popular tools, and analyze their strengths and limitations.
Learning Outcomes: Participants will be able to…
1) Differentiate Generative AI (GenAI) from traditional AI approaches by analyzing underlying architectures and learning paradigms (e.g., transformers vs. rule-based systems).
2) Evaluate commonly used GenAI tools (e.g., ChatGPT, DALL·E, Copilot) and assess their suitability for specific tasks.
3) Analyze the strengths and limitations of GenAI, including technical challenges such as hallucinations, bias, and model interpretability.
4) Implement no-code GenAI tools to automate or augment tasks such as summarization, image generation, and data transformation, wit |