Real-Time Information Updates and User Options for Speed vs. Accuracy
I would like to suggest an improvement for your model’s response system. Given that the knowledge base is static and often outdated for recent events, I propose the following:
- Real-Time Updates for Recent Events:
Implement a system that automatically performs real-time searches for any questions related to current events during a set period each month (e.g., from the 28th to the 1st). This would ensure that the model answers are based on the latest available data.
Example Problem:
For instance, when I asked about Bashar al-Assad fleeing Syria, I was told that he had not escaped, as my model’s knowledge was only up-to-date until October 2023. However, recent news confirmed that he fled Syria on December 8, 2024. This gap between the model’s static knowledge and the actual event could lead to inaccurate responses when users inquire about current affairs.
- Option for Fast vs. Accurate Responses:
Provide users with an option to choose between:
Fast Response: Quick answers based on older information, ideal when speed is more important than the most up-to-date data.
Accurate Updates: Slightly slower responses that pull real-time, verified information for more accurate answers, especially for time-sensitive queries.
- Trust-Level Labels:
For answers sourced from less-established outlets or where the information is unverified, include a label like, “This information comes from an unverified source and should be cross-checked.”
I believe this approach could offer flexibility, giving users the ability to prioritize either speed or accuracy based on their needs, while also ensuring that more up-to-date and reliable information is provided where necessary.
Thank you for considering this suggestion!
Best regards.