How does chain of thought prompting provide context?
Chain of thought prompting is a sophisticated technique that provides context in multiple ways, enabling a system to generate responses that are accurate, coherent, and engaging. The process involves several key components:
- Entity recognition: The system identifies and extracts relevant entities, such as names, dates, locations, organizations, and specific events, from the input prompt. This helps establish a solid foundation for the chain of thought and provides a clear understanding of the context. For instance, if the input prompt mentions a specific company, the system will recognize it as an entity and use this information to inform its response.