How can I boost the response quality of ChatGPT 4 0611 compared to Chat GPT4?

Below are some tips you can try to improve the quality of responses:

1. Provide Detailed Context

Be explicit about the scenario, background, and desired outcome. For example, instead of asking a general question, add details such as background context, constraints, and examples. This can help the model zero in on producing a more relevant answer.

Example Prompt:

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I'm working on optimizing an algorithm for real-time data analysis in Python. The dataset is large and continuously updated. Could you suggest strategies for latency reduction, memory management, and any libraries that might be helpful?

2. Specify a Desired Format or Level of Detail

If you prefer an answer in bullet points, a numbered list, or with code examples, mention that explicitly. This guides the response structure.

Example Instruction:

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Please list the steps in bullet form and provide a code snippet where relevant.

3. Ask Follow-Up or Clarifying Questions

If the response seems generic, you can ask for more detail or clarification on parts you feel need depth. This iterative approach can lead to richer answers.

Example Follow-Up:

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Could you expand on some potential drawbacks of this approach and suggest how to mitigate them?

4. Use Iterative Refinement

Review the response and then refine your instructions based on the answer. This helps the model adjust the output to better suit your needs.

5. Emphasize Style or Tone

If you need technical precision or a simplified explanation, stating that clearly can help adjust the response style.

Example Instruction:

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Explain the solution with a technical tone suitable for an experienced developer.

By providing a detailed prompt and clear instructions, you can guide the model to produce responses that closely match your expectations.