What strategy can be used to mitigate the impact of the limited context window in ChatGPT when dealing with long conversations?

To mitigate the impact of the limited context window in ChatGPT when dealing with long conversations, a summarization technique can be used. The context window refers to the maximum length of text that the model can consider at any given time. When the conversation exceeds this limit, the model starts to 'forget' earlier parts of the exchange, leading to a loss of coherence and relevance. Summarization involves condensing the previous turns of the conversation into a shorter, more concise summary, which is then included in the prompt for subsequent turns. This allows the model to retain the essential information from the earlier parts of the conversation without exceeding the context window limit. For example, after several exchanges, the conversation history could be summarized as 'User asked about the best Italian restaurants in downtown Chicago and then inquired about their price range.' This summary, along with the user's latest question, becomes the new prompt. By periodically summarizing the conversation, the model maintains awareness of the overall context, even in lengthy interactions.