Need for a basic LLM design with dataset which will act as a base design for prompt pimping

[Circuit-Overtime]

Issue: Basic LLM Design for Prompt Pimping

Description

We aim to design a foundational Large Language Model (LLM) that will serve as the base for our prompt pimping functionality. This design will allow us to enhance and optimize prompts effectively, improving the overall performance of our AI art generator.

Objectives

1. Dataset Creation:

   • Develop a dataset that includes diverse and meaningful prompts suitable for various art styles and themes.
   • Ensure the dataset is balanced and contains enough examples for effective training and evaluation of the LLM.

2. LLM Architecture:

   • Define a simple yet effective architecture for the LLM, focusing on flexibility and adaptability to different prompt styles.
   • Consider leveraging existing transformer-based models as a base for our LLM design.

3. Prompt Pimping Features:

   • Implement functionality that refines and enhances user prompts to generate more engaging and creative outputs.
   • Explore techniques for generating variations of prompts that maintain the original intent while improving clarity and creativity.

Expected Outcomes

• A well-defined LLM design that acts as a foundation for future enhancements in prompt generation.
• A robust dataset that supports the training and fine-tuning of the model, ensuring quality and diversity in the generated prompts.
• A clear roadmap for implementing the prompt pimping features in our existing system.

Next Steps

1. Open discussions regarding dataset sources and structure.
2. Collaborate on architectural design considerations for the LLM.
3. Define metrics for evaluating the performance of the prompt pimping functionality.

Your contributions and insights are highly valuable as we work on this essential component of our project. Let's collaborate to make our AI art generator even more powerful!