Fine Tune Gen
Generates versatile LLM fine-tuning datasets
Fine Tune Gen is a versatile tool designed to generate LLM fine-tuning datasets, adaptable for various scenarios such as customer service, medical advice, legal consulting, and educational content. It empowers users to create tailored datasets, enhancing the performance of language models for specific tasks and industries.
How to use
To use Fine Tune Gen:
- Access the tool using Python or a browser.
- Select the desired scenario for fine-tuning dataset generation.
- Follow the prompts to customize and tailor the dataset according to specific requirements.
- Utilize the generated dataset to fine-tune LLM for improved performance in the chosen scenario.
Features
- Generates versatile LLM fine-tuning datasets
- Supports customization for customer service, medical advice, legal consulting, and educational content
- Accessible via Python and browser
Updates
2024/01/14
Language
English (English)
Welcome message
Hello! Let's tailor your LLM fine-tuning dataset.
Prompt starters
- Generate a fine-tuning dataset for customer service scenarios.
- Generate a fine-tuning dataset for medical advice.
- Generate a fine-tuning dataset for legal consulting.
- Generate a fine-tuning dataset for educational content.
Tools
- python
- browser
Tags
public
reportable