Efficient GRE Question Generation with ScholarDen

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Automating ScholarDen’s Test Question Creation

ScholarDen faced challenges in generating new test questions efficiently. Dedicated human resources focused on crafting sentences, which were subsequently scrutinized by another team to sift through and identify useful content. This process demanded significant time and manpower, impacting overall productivity and turnaround times for creating high-quality test questions.

The Challenge

ScholarDen faced challenges in generating new test questions efficiently. Dedicated human resources focused on crafting sentences, which were subsequently scrutinized by another team to sift through and identify useful content. This process demanded significant time and manpower, impacting overall productivity and turnaround times for creating high-quality test questions.

How Did We Take on the Challenge?

Veritas Analytica addressed ScholarDen’s challenges by conducting a thorough analysis of their existing question-generation process. We developed a comprehensive strategy that included curating a diverse and high-quality dataset, implementing customizable prompt inputs, and refining the model’s output through continuous fine-tuning. Additionally, we created a streamlined application that integrated all these components seamlessly, enhancing usability and efficiency.

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Roadblock-scholar

The Roadblocks

  • Acquiring a Comprehensive Dataset: Needed a diverse and high-quality dataset suitable for training the Language Model (LLM).
  • Implementing Customizable Prompt Inputs: Designed an effective mechanism for users to input customizable prompts.
  • Refining Output Through Fine-Tuning: Achieved optimal performance through continuous refinement and adjustment of various parameters.
  • Developing a Streamlined Application: Integrated multiple components into a single, user-friendly application.

Features of Our Solution

Automated Processes

Automated Processes

Enhanced efficiency and productivity with a user interface application.

Customizable Dataset

Customizable Dataset

Offered runtime dataset modification, segregated according to the difficulty level.

Default Prompt Modification

Default Prompt Modification

Featured a robust prompt modification button, allowing users to set prompts according to their needs.

Rapid Response

Rapid Response

Generated up to 50 questions with a response time of less than a minute.

Tech Stack

Tech Stack Used

  • Meta Llama 3
  • Python

Solution

Curated Dataset Acquisition

Curated Dataset Acquisition

Gathered a comprehensive dataset of questions tailored for the model’s training needs.

Interactive Prompt Customization

Interactive Prompt Customization

Provided intuitive customization options through an interactive application interface.

Output Optimization

Output Optimization

Refined the model’s outputs to ensure high-quality results.

Unified Application Integration

Integrated all processes into a single application, enabling users to perform every task efficiently with a single click.

Impact

The application had the capacity to generate up to 50 questions, with an initial user acceptance rate of up to 60%.

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Data Flow Diagram

Scholar

Client Testimonial

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Client Name
Designation of Client

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Date: 07/24/2024

Get in Touch Today

We will help you overcome your data and AI challenges.

Call us at  +1 206 925 3771.
Email us at
info@veritasanalytica.ai.