Part 4/14:
The core of gen AI involves ingesting vast amounts of data—billions of parameters—into large language models. These models learn the intricacies of language, context, and associations by analyzing this data. When prompted, they respond word-by-word, using learned connections to generate coherent and contextually relevant answers.
The high accuracy of these responses hinges on the volume and quality of data fed into the system. The more comprehensive and relevant the data, the better the model's outputs.