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

5.1. Use The Latest Model

This section is dedicated to sharing the various prompt engineering techniques for Large Language Models (LLM), particularly for ChatGPT.

It’s encouraged that we use the latest model of Generative AI models.

1. Improved Performance: The newest model typically offers better performance, as it incorporates the latest advancements in natural language processing, AI research, and technology. This leads to more accurate and contextually relevant responses.
2. Enhanced Training Data: The latest models are trained on a more extensive and diverse dataset, which includes more recent information. This allows the model to provide more up-to-date and comprehensive answers to a broader range of topics.
3. Better Understanding: As AI models continue to evolve, they demonstrate a deeper understanding of complex language structures, idiomatic expressions, and nuanced contexts. This results in more human-like and coherent responses.
4. Reduced Bias: Over time, AI developers work to mitigate biases present in the model's training data. The latest models usually have improved mechanisms to handle and minimize potential biases, ensuring more objective and fair responses.
5. Advanced Features: Newer models often include advanced features and capabilities that may not be present in older versions. This could involve enhanced customization options, more efficient fine-tuning, or better integration with other software and platforms.

On this page:

• 5.1. Use The Latest Model