Organize and process datasets for AI models
Create datasets with FAQs and SFT prompts
Manage and annotate datasets
Create a large, deduplicated dataset for LLM pre-training
Build datasets using natural language
Organize and process datasets using AI
Create a report in BoAmps format
Label data for machine learning models
Organize and process datasets using AI
Review and rate queries
Build datasets using natural language
Rename models in dataset leaderboard
Organize and invoke AI models with Flow visualization
g is a tool designed to organize and process datasets for AI models. It simplifies the workflow of dataset creation and preparation, making it easier to manage and optimize data for artificial intelligence applications.
• Dataset Management: Easily organize and categorize datasets for specific AI tasks.
• Data Processing: Includes tools for cleaning, transforming, and augmenting datasets.
• Integration Ready: Compatible with popular AI frameworks and pipelines.
• Customizable Workflows: Create tailored workflows for unique data processing needs.
• Support for Multiple Formats: Handles various data formats such as CSV, JSON, and image files.
What is g primarily used for?
g is primarily used for organizing and processing datasets to prepare them for AI model training.
How do I install g?
You can install g using your preferred package manager, such as pip, by running pip install g.
Does g support image data?
Yes, g supports various data formats, including images, making it suitable for computer vision tasks.