Maintaining Context in Multi-Turn Conversations
Explore how to maintain context in multi-turn ChatGPT conversations by understanding the model's token window limits. Learn practical techniques like summaries and direct referencing to ensure coherent, continuous dialogue and handle context loss effectively.
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ChatGPT is created for multi-turn conversations. These are interactions where a user and the model exchange multiple messages, building upon prior statements to create a fluid and coherent dialogue. One of the challenges in such interactions is maintaining context. Ensuring the model retains and appropriately responds to the established context over multiple exchanges is important for getting the results that most people expect. But when a conversation gets past a certain length, the model can lose track of information from the beginning of the conversation.
Understanding ChatGPT's context window
When using ChatGPT or similar models, understanding the concept of a "context window" is crucial. This term refers to the recent conversation ...