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SFT-data-builder: generate AI training data using free big model API, 0 cost big model training data generation

General Introduction

SFT-data-builder is an open-source project designed to generate high-quality SFT training data by utilizing the free Big Model API combined with users' private domain data. The tool supports a variety of AI model formats and provides one-click generation, batch generation, flexible editing and local storage functions to help users quickly generate training data suitable for pre-training, fine-tuning, function calling and other scenarios.

SFT-data-builder: generate AI training data using free big model API, 0 cost big model training data generation-1


 

SFT-data-builder: generate AI training data using free big model API, 0 cost big model training data generation-1

 

Function List

  • Generate training data with one click: Numerous OpenAI format calls for local or cloud-based models are supported.
  • Batch Generation: Generate training data from multiple different perspectives at once, support batch URL articles to generate data automatically.
  • Flexible editing: All generated data can be edited and adjusted at any time.
  • local storage: Automatically saves all data locally.
  • Easy to export: Export standard format JSON files with one click.
  • Multi-model support: Supports a wide range of mainstream AI models, which can be customized.
  • Multi-format support: Support for PDF, Word, TXT and other file formats.

 

Using Help

Installation process

  1. Installation of dependencies: Run in the project directory npm installThe
  2. Initiation of projects: Run npm run start Launching the project.

Guidelines for use

  1. Configuring the API::
    • Click on the "Open Configuration" button.
    • Set the API address and key.
    • Select or customize the AI model.
    • Sets the number of data entries generated at a time.
  2. input::
    • Upload files (PDF, DOCX, TXT supported).
    • or enter the text content directly.
  3. Generate data::
    • Click the "Generate AI Response" button.
    • Toggle through multiple generated results and edit the generated content as needed.
  4. Management data::
    • Add to the data list.
    • Preview all generated data.
    • Delete unwanted data.
    • Export as a JSON file.

Functional operation flow

  1. Generate training data with one click::
    • Select or customize the AI model.
    • Enter or upload text content.
    • Click the "Generate AI Response" button, the system will automatically generate training data.
  2. Batch Generation::
    • Set the batch generation parameters on the configuration page.
    • Upload a file containing multiple URLs or enter multiple URLs.
    • Click the "Batch Generate" button, the system will automatically generate multiple training data.
  3. Flexible editing::
    • On the Generated Results screen, click the data entry to be edited.
    • Modify the content in the editor to save the changes.
  4. Local storage and export::
    • All generated data is automatically saved to local storage.
    • On the data management screen, select the data to be exported and click the "Export to JSON" button.
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