Latent Space Direction Prompt Maker
Assists in building prompts for latent code analysis and SVM model training.
The Latent Space Direction Prompt Maker is a tool designed by Sangwon Jeong that assists in building prompts for latent code analysis and SVM model training. This tool aims to improve the grouping of latent codes and adjust the SVM model for better accuracy, focusing on how semantic direction influences the latent space. By utilizing techniques rooted in deep learning and machine learning, this tool proves highly beneficial in enhancing the accuracy and efficiency of latent code analysis.
How to use
Hello! Ready to work on latent codes and SVM models?
- Initiate the tool by opening the DALL-E or browser application.
- Utilize the provided prompt starters to enhance latent code grouping.
- Adjust the SVM model to improve accuracy based on the tool's guidance.
- Explore the influence of semantic direction on the latent space for further analysis.
Features
- Assists in building prompts for latent code analysis and SVM model training
- Provides prompt starters for improving latent code grouping
- Utilizes DALL-E and browser applications for seamless functionality
- Focuses on adjusting the SVM model for enhanced accuracy
- Investigates how semantic direction influences the latent space
Updates
2024/01/20
Language
English (English)
Welcome message
Hello! Ready to work on latent codes and SVM models?
Prompt starters
- How can I improve this prompt for better latent code grouping?
- What's the next step after finding the latent codes?
- Can you help me adjust the SVM model for better accuracy?
- How does the semantic direction influence the latent space?
Tools
- dalle
- browser
Tags
public
reportable