Fiddlecube : Quickly generate question-answer data and evaluate language models.

Fiddlecube

Research Equipment Model Training and Deployment #Data Science #Model Evaluation #Question Answering Generation #Dataset Management English Picks Paid

Overview :

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.

Target Users :

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.

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Use Cases

Oren Dar, a data scientist at Intuit, believes FiddleCube addresses the core challenge of creating high-quality datasets.

She-Lan, CEO of Interval Works, discovered FiddleCube through the Y Combinator company page and considers it a brilliant solution that addresses all issues.

Shiv, CEO of Athina.ai, states that users previously lacked good datasets to evaluate their models, while FiddleCube makes high-quality assessment datasets readily accessible.

Features

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.

How to Use

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.