Part 4/10:
A thorough understanding of the models being used is crucial. The creator breaks down the concept of parameters in AI models, specifically focusing on the Llama series. A model’s capabilities are heavily dictated by its parameters—essentially the "knowledge" each model possesses.
For instance, they explore how a one-billion parameter model, such as Llama 3.2, compares to models with significantly more—up to 405 billion parameters in the case of Llama 3.1405 B. This correlation between parameters and model performance highlights the escalating resource requirements for running more complex models.