Introduction of generative AI and agentic AI as two distinct approaches.

Generative AI includes chatbots and image generators.

Generative AI is reactive, responding to user prompts.

Generates content based on patterns learned from data.

Agentic AI is proactive, pursuing goals with minimal human input.

Functions through a life cycle: perceives, decides, acts, learns.

Both AI types utilize large language models (LLMs) as their foundation.

LLMs drive reasoning in agentic systems.

Generative AI assists in content creation, like script writing.

Human oversight is needed for generated content.

Examples include personal shopping agents handling multi-step processes.

Agentic AI seeks input only when necessary.

Agentic AI employs chain of thought reasoning for problem-solving.

Breaks down complex tasks into manageable steps.

Future AI will likely integrate generative and agentic capabilities.

Emphasis on collaborative intelligence.