How can we use structured prompts to improve context retention across longer text generation

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With the help of Python programming, explain how we can use structured prompts to improve context retention across longer text generation.
Nov 20 in Generative AI by Ashutosh
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1 answer to this question.

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You can use structured prompts to improve context retention across longer text generation by referring to the techniques below:

  • Divide Context: It uses headers or labeled sections for clarity.
  • Explicit Instructions: It reinforces context reminders within the prompt.
  • Chain-of-Thought (CoT): It Guides reasoning by structuring step-by-step instructions.

Here is the code snippet you can refer to:

The above code maintains focus by explicitly outlining content flow and reduces drift in context for long-form text generation.

Hence, by referring to the above techniques, you can use structured prompts to improve context retention across longer text generation.

answered Nov 21 by nithin thapa

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