Success of Chat GPT and Information Architecture

Investing in information architecture is crucial for the success of models like chat GPT. The key lies in dissecting and understanding the training data that these models are built upon. The structured information, including wiki data, taxonomies, and ontologies, plays a vital role in the effectiveness of chat GPT and other Large Language Models (LLMs). By aligning information architecture with data, models can effectively classify outputs into derived meanings, making them more successful and less abstract. The success of chat GPT is attributed to the robust information architecture on which it was trained, highlighting the importance of this aspect in model performance.