3. Process Flow
4. Caveats
5. LLM Prompt Engineering Techniques
6. Text-to-Image Prompting Engineering Techniques
1. Introduction
All about how to use the SOP guides
Overview
This Standard Operational Procedure (SOP) document outlines the step-by-step instructions for creating a Talespin-powered learning module with the aid of Generative Artificial Intelligence (AI) such as Large Language Models (LLM) like Open AI’s ChatGPT and Text-to-Image models like Midjourney and Open AI’s DALL·E 2.
With this SOP, you will learn how to use the Experience Requirement Document (ERD), Concept Deck, and CoPilot Designer (CPD) to create dynamic conversational learning content where learners practice role-play with emotionally realistic virtual humans.
Supplementary Tools | Purpose |
Experience Requirement Document (ERD) | Outlines the objectives, target audience, learning outcomes, content structure, and instructional design approach for the learning module. |
Concept Deck | Illustrates the artwork of virtual humans and environments to facilitate communication with the art team. |
CoPilot Designer (CPD) | Serves as a no-code authoring tool to create immersive learning tools. |
Components of SOP Guides
The SOP consists of the following components.
SOP Component | Purpose |
Team Structure | Defines the roles and responsibilities of each member |
Process Flow | Outlines sequential steps for module creation, where each step maps exactly to each component of the ERD. |
Prompt Engineering Technique | Provides guidance on crafting effective prompts that yield optimal outcomes. |
Prompt Library | Serves as a repository of well-crafted prompts for team members to reference or adapt. |
Resources | Provide Additional Information to support module creation. |
Best Practices
Within this document, you'll find prompts for each process. There's no need to adhere strictly to the prompts. Instead, keep an open mind and explore various approaches to designing prompts.
Prompts are constantly evolving through contributions from various team members. Make sure to contribute to this ongoing development. Experiment and share your findings with the team via the prompt library.
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