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You are tasked with optimizing an Azure OpenAI model to generate high-quality responses for a chatbot application. The model should be able to handle a wide range of user inputs and maintain context across multiple turns in a conversation. Which of the following techniques should you consider implementing to achieve this?
A
Use a single, broad prompt for all user inputs to maintain consistency.
B
Implement a context management system to track and maintain conversation state across turns.
C
Fine-tune the model on a diverse dataset of conversational examples to improve its understanding of various topics.
D
Limit the model's responses to a predefined set of topics to ensure relevance.