Welcome to SOP Guides

1. Introduction

2. Team Structure

3. Process Flow

3.1. Module Learning & Experience Design

3.2. Individual Flow Design

3.3. Narrative Design & Skills Mapping

3.4. New Assets Creation

3.5. Annex: World Building - Learning & Experience Design

3.6. Annex: World Building - Story Design

3.7. Process Flow Conclusion

4. Caveats

4. Caveats

5. LLM Prompt Engineering Techniques

5.1. Use The Latest Model

5.2. Zero-shot Prompting

5.3. Few-shot Prompting

5.4. Chain-Of-Thought Prompting

5.5. Structuring Prompts

5.6. Describing Prompts

5.7. Editing Prompts

5.8. Extending Responses

5.9. Multiple Users Collaborating

6. Text-to-Image Prompting Engineering Techniques

6.1. General Techniques

6.2. Photography

6.3. Architecture

6.4. Various Aesthetic Styles

6.5. Product & Material

5.7. Editing Prompts

While using ChatGPT, it can sometimes be more effective to edit an existing prompt (clicking on the edit button beside the prompt) rather than creating a new one.

• Context Preservation: Editing an existing prompt retains the context and allows us to fine-tune our query or instruction, which may lead to a more accurate and relevant response from the AI.
• Improved Clarity: By refining the original prompt, we can clarify any ambiguities or vagueness that might have caused the AI to generate an inaccurate or off-topic response.

Whenever we want to make minor edits while retaining the context of the prompt, we use the edit function.

If we want to make a drastic change, we simply write a new prompt.

On this page:

• 5.7. Editing Prompts