Part 4/5:
Unlike traditional software, where developers can easily tweak specific components, modifying an end-to-end neural network to refine certain outputs is challenging. As a result, controlling the model’s behavior and ensuring it responds accurately and ethically becomes more difficult.
User Interactions and Model Limitations
Many users have experienced firsthand the limitations of these models, such as arguing with ChatGPT when it provides incorrect or unsatisfactory answers. This is a common phenomenon, reflecting the inherent challenges in making these models both accurate and reliably controlled.