I'm leaning towards adding training data as the best approach here. That seems like it would help the model stay up-to-date on current events and generate more accurate responses. But I'd want to double-check the details to be sure.
Hmm, I'm not totally sure about this one. Adding grounding data or few-shot learning could also be good options, but I'm not 100% confident in my understanding of how those work with Azure OpenAI models.
I think modifying the system message could help ensure the model generates responses that include recent events. That's my best guess based on the information provided.
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