FiddleCube

Quickly generate question-answer data and evaluate language models.

InternationalSelectionProgrammingData ScienceModel Evaluation

FiddleCube is a product focused on the field of data science. It can quickly generate question-answer pairs from user data to help users evaluate large language models (LLMs). It provides accurate gold-standard datasets, supports various question types, and enables evaluation of data accuracy through metrics. Moreover, FiddleCube offers diagnostic tools to help users identify and improve underperforming queries.

Integrate seamlessly into existing projects with just two lines of code.
Supports 8+ question types
ensuring test diversity and completeness.
Accuracy scoring based on metrics
facilitating the screening of low-quality data.
Rapidly create high-quality datasets.
Run diagnostics to provide root cause analysis and improvement recommendations.
Supports custom integration and self-hosting to safeguard data privacy.

FiddleCube targets data scientists
machine learning engineers
and researchers who need to evaluate language model performance. It helps them overcome the challenge of creating high-quality datasets by providing tools for quickly generating question-answer pairs and evaluating models
thus improving efficiency and accuracy in model assessment.

Oren Dar
a data scientist at Intuit
believes FiddleCube addresses the core challenge of creating high-quality datasets.
She-Lan
CEO of Interval Works

1. Visit the FiddleCube website and register an account.
2. Choose a suitable plan based on your needs
such as the free plan or enterprise plan.
3. Integrate the FiddleCube provided code into your project.
4. Use FiddleCube to generate question-answer pairs and evaluate your dataset.

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