1. Introduction
2. Team Structure3. 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 Conclusion4. Caveats
4. Caveats5. 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 Collaborating6. Text-to-Image Prompting Engineering Techniques
6.1. General Techniques
6.2. Photography
6.3. Architecture
6.4. Various Aesthetic Styles
6.5. Product & Material4. Caveats
When using Large Language Models (LLM) such as ChatGPT, it is important to understand their limitations in order to maximize their potential and avoid misinformation.
Below are some key points to consider:
1. Fact-checking and Verification
AI applications may generate content that seems accurate but is actually based on false or non-existent citations. AI tools also struggle with parsing information correctly, particularly when questions involve larger context, drawing conclusions, or visualization. Always verify the facts and sources provided by AI-generated content, especially when dealing with subject matter-specific information.
2. Lack of Critical Analysis
AI applications may fail to recognize "red flags" that a human researcher would easily identify. They do not read content with a critical eye, so it is essential to perform in-depth analysis and validation independently.
3. Creative Writing Limitations
AI-generated creative writing tends to be bland, unrealistic, and wordy. It often lacks distinct character voices in dialogue. While AI can be useful for generating first drafts, the content will require editing and refinement.
4. Design Constraints
While utilizing generative AI image generators, keep in mind the constraints concerning consistency in the images produced, obtaining exact desired outcomes, and the current limitation to 2D images.
5. Legal Precedents and Copyright Issues
As AI applications are still relatively new, legal precedents surrounding their use are yet to be established. In the short term, copyrighting works that involve AI-generated assets may exclude those assets. Exercise caution when creating content, document human involvement, and be transparent by citing your AI source.
AI applications like ChatGPT can be valuable starting points for research and content generation, but they should not be considered a substitute for human expertise.
Always verify facts, perform in-depth analysis, and consult with subject matter experts to ensure accuracy and reliability in your work.
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