Why Your ChatGPT Answers Feel Generic (It's Not the Model's Fault)
When interacting with ChatGPT, a user encountered issues where follow-up questions received off-topic responses, indicating the model had lost track of the conversation's context. The user initially attributed this to the model's performance but later understood that large language models do not maintain conversational memory in the same way a human does. If a subject is not explicitly restated in subsequent prompts, the model genuinely lacks that information. This realization prompted the user to adopt a new prompting strategy: "over-specifying." This involved making each follow-up prompt longer by restating the main subject, clarifying the desired outcome, and reiterating any relevant constraints. This method proved effective in generating more accurate and relevant answers from ChatGPT, though it necessitated more detailed and lengthier user inputs.
Developers must explicitly manage conversational context in prompts to ensure relevant ChatGPT responses, as the model does not retain it like a human.