A planetarium lobby kiosk stores the whole conversation as one growing paragraph and the model loses who said what. How should chat memory be kept?
Select an answer to reveal the explanation.
Short Explanation
Chat memory is a list of role-tagged messages, system, user, assistant, plus a trimmed window each turn. One growing paragraph loses who said what. Fine-tuning after every visitor, or dumping history into a training job, is not that structure.
Full Explanation
Chatbot memory is a list of role-tagged messages — system, user, and assistant — that the orchestrator trims and sends each turn. A single growing paragraph loses who said what and will overflow the window. Fine-tuning after every visitor is not chat state. A training job is not a memory structure.