How Gen AI is Reshaping our World | Episode 2 | Learning Kerv

In this episode, we dive into Generative AI, what it is, what it means and how it is reshaping our world. Join us as Rufus and Will discuss the different between AI and Gen AI and how it can be applied to all areas of life.

Key Highlights

• Gen AI Definition: What is Gen AI? Learn what makes Gen AI different from classic AI and what this means for how you use it.
• Gen AI Capabilities: What are the key capabilities of Gen AI in the world? Discover the defining use cases for Gen AI, from business to at home use, from behind the scenes to front of house.
• Large Language Models: What is a large language model? Discover how these AI powerhouses, trained on vast amounts of internet data, learn the complexities and nuances of natural language to generate human-like responses. From tokenization and vectorization to attention mechanisms and reinforcement learning, this transcript breaks down the intricate processes that make LLMs tick.
• Strengths and Limitations of Gen AI: Understand the capabilities of AI in generating coherent and structured content, and learn about its limitations, such as outdated information and hallucinations. Understand what AI hallucinations are and how you can use Gen AI to create content in the real world.
• What is next in Gen A?I: Learn about exciting advancements and future potential of agentic AI and understand how AI is evolving from reactive models to ones that take initiative, anticipate needs, and autonomously solve problems.

Whether you use Gen AI for work, play or unknowingly in your everyday life, this episode is packed with insights and practical examples of how generative AI is reshaping our world and adapting to create more accurate and trustworthy content. Tune in to learn how Gen AI works, how to leverage the technology and what to be cautious of when using it!

Learning Kerv is a podcast series of content to help coach IT leaders / decision makers through challenges in the world of generative AI.

Talking about adoption / change and looming skills / knowledge gap on various applications across various industries.