AI is the New Electricity: Generative AI Opportunities and Agentic Workflows
Explore the biggest opportunities in AI, focusing on generative AI's impact on application development and the rise of agentic workflows.
Course Timeline
💡Introduction: AI as the New Electricity
Overview of AI's transformative potential and the focus on application-level opportunities.
🚀 Generative AI: Accelerated Model Development
How generative AI is drastically reducing the time to build AI applications, from months to days, enabling faster experimentation and prototyping.
💨Fast Iteration and Prototyping
The shift from lengthy, carefully planned development cycles to rapid prototyping and iteration using generative AI, making experimentation a more viable path to innovation.
🤖Agentic AI: The Future of AI Workflows
Introduction to agentic AI and its importance in enhancing large language model capabilities, moving beyond simple zero-shot prompting.
🧠Agentic Workflow Design Patterns
Exploration of four major agentic workflow design patterns: reflection, tool use, planning, and multi-agent collaboration, with illustrative examples.
🖼️Visual AI: Agentic Workflows for Images and Videos
Demonstration of agentic workflows applied to visual AI tasks, showcasing capabilities like object counting and video analysis using a demo application.
📈Key AI Trends: Beyond Agentic AI
Discussion of other important AI trends alongside agentic AI, including advancements in token generation, tool-use optimization in LLMs, data engineering, and the rise of image and video processing.
👨💻 Conclusion: A Great Time to be a Builder
Summary of the presentation, emphasizing the increased speed of AI development and the vast opportunities for building innovative applications.