Part 3/9:
The performance of AI models is often quantified by their number of parameters. For example, GPT-3, built with 175 billion parameters, employs a mechanism of pre-trained transformers to classify and understand language. This deep learning architecture breaks down words into tokens within an extraordinary 12,288 dimensions, allowing the model to generate coherent text. Despite this advancement, the equation that governs these models indicates an inevitable limit to their intelligence.