In this episode of AI Now!, we dive into the concept of "parameters" in Large Language Models (LLMs) with Mike. We break down how parameters function as the "brain size" of an LLM, determining its ability to learn, store, and synthesize complex information.

Through real-time examples with Deepseek R1, a model with 605 billion parameters, we explore how LLMs generate detailed historical summaries, understand nuanced cultural contexts, and even create custom recipes without live web searches.

Tune in to uncover how these massive networks transform numbers into knowledge and whether models really need to be that big to be effective!