Fine Tuned LLM Tester
Generates test code for fine-tuning LLMs based on input data.
The Fine Tuned LLM Tester is a powerful tool developed by checkie.ai to generate test code for fine-tuning Large Language Models (LLMs) using specific input data. It offers a streamlined approach to assessing and refining model performance across various domains, enabling users to enhance the accuracy and efficiency of their LLMs.
How to use
To effectively use the Fine Tuned LLM Tester, follow these steps:
- Access the tool using Python or a web browser.
- Input your data and desired parameters for fine-tuning.
- Generate test code based on the input data and fine-tuning settings.
- Analyze the test results to evaluate the performance of your LLM.
Features
- Generates test code for fine-tuning LLMs based on input data.
- Supports testing and refining LLMs in various domains.
- Provides a user-friendly interface for defining parameters and analyzing test results.
Updates
2024/01/11
Language
English (English)
Welcome message
Hello! Ready to test some GPTs?
Prompt starters
- Create a test prompt for a GPT trained on 20th-century literature.
- Suggest edge cases for a GPT fine-tuned with scientific data.
- Develop test prompts for a GPT trained in legal advice.
- Identify potential ambiguities in a GPT's training data.
Tools
- python
- browser
Tags
public
reportable