- Reasoning and inference: The system uses logical rules and inference to connect the dots between ideas and concepts.
- Language modeling: The system is trained on large datasets to learn the patterns and structures of language, enabling it to generate coherent and natural-sounding text.
By leveraging chain of thought prompting, AI systems can produce more sophisticated and human-like responses, making them more effective in various applications.