Exploring the Capabilities and Limitations of Large Language Models

The chapter provides insights into how a language model interacts to collect economic data, showcasing its strengths and weaknesses in sourcing information up to a certain timeframe. It discusses the process of token associations in models like chat GPT and how paying for access to updated information can enhance accuracy. The importance of dataset size in improving AI-generated answers and the necessity of quality control measures in enhancing trustworthiness are also explored.