Why Context Changes an AI's Answer (Parent Q&A)
This guide explains why the same underlying AI model can give different answers when the information surrounding a request changes. It clarifies the roles of context, instructions, conversation history, training data, context windows and retrieved information. It also explains why relevant context may improve an answer without guaranteeing that it is correct.
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