How do you address lack of context when generating email responses using large language models

Question

Can i know How do you address lack of context when generating email responses using large language models?

Answer 1

Lack of context in email responses can be addressed by maintaining conversation history, using context-rich prompts, fine-tuning on professional email datasets, and leveraging techniques like sliding windows for context retention.

Here is the code snippet you can refer to:

In the above code we are using the following key points:

• Maintains a conversation history to retain context across email exchanges.
• Uses a sliding context window to focus on the most relevant recent interactions.
• Applies top-p sampling and temperature control to produce natural, context-aware responses.

Hence, by preserving context through conversation history and fine-tuning generation strategies, we improve the clarity, relevance, and coherence of email responses.