Welcome to our comprehensive guide on utilizing the Question Builder tool! This innovative model is designed to assist the open-source community in crafting datasets effortlessly. In this blog, we’ll walk you through how to use this model, troubleshoot common issues, and help you maximize your experience!
Understanding the Basics
The Question Builder is not your typical Q&A model; it doesn’t directly answer questions. Instead, it serves as a powerful assistant for generating new datasets. Think of it like a helpful librarian who can’t provide answers but can guide you on how to structure your inquiries and gather relevant information.
Getting Started
To begin, you should access the model. The Question Builder is available in two configurations:
Once you’ve accessed the model, you can start crafting your prompts. The best usage scenario is through an API, and we recommend keeping your data short and concise — ideally a few sentences.
Setting the Right Parameters
For generating optimal results, it’s critical to configure the model’s settings properly. Below are the recommended parameters:
- Prompt Setting: Debug-deterministic
- Repetition Penalty: 1.2
- Temperature: 1
- Top-p: 1
- Top-k: 1
- Typical P: 1
- Minimum P: 1
Visual Examples
To illustrate the functionality of the Question Builder, here are some visual examples:

These images showcase different outputs from the Question Builder, each demonstrating the structured approach to dataset creation.
Troubleshooting Tips
While using the Question Builder, you might encounter some hiccups. Here are common issues and their solutions:
- Issue: No output generated.
- Solution: Ensure that your input is concise yet informative. Remember, the model thrives on short sentences!
- Issue: Responses seem irrelevant.
- Solution: Double-check your prompt settings. Make sure you’re using the recommended parameters above.
- Issue: API connection errors.
- Solution: Verify your API key and ensure your internet connection is stable. Sometimes, server issues might cause delays.
For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.
Conclusion
At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.
With the Question Builder, crafting datasets has never been easier. Follow the steps laid out above, and you’ll be on your way to harnessing the full potential of this remarkable tool!

