I am currently leveraging the GPT-3.5-turbo model to build an application that requires fluid and coherent conversational interactions. As interactions progress, maintaining conversation context becomes a challenge, especially without the need to resend all previous messages with each API call.
I’ve been exploring ways to enable the model to remember past interactions to provide a more natural user experience without the overhead of managing an extensive conversation history in every request. My specific question is: Is there a capability within the GPT-3.5-turbo API, or any recommended technique, that allows the model to be aware of previous messages without needing to include them all in each chat call? Furthermore, is switching to a different version of ChatGPT a necessary step to achieve this functionality?
Any guidance on implementing efficient context management in conversations or suggestions on best practices for this purpose would be greatly appreciated. Insights on whether a different model version offers better support for context awareness without the cumbersome requirement of resending conversation history would also be valuable.